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    "# Riskfolio-Lib Tutorial: \n",
    "<br>__[Financionerioncios](https://financioneroncios.wordpress.com)__\n",
    "<br>__[Orenji](https://www.orenj-i.net)__\n",
    "<br>__[Riskfolio-Lib](https://riskfolio-lib.readthedocs.io/en/latest/)__\n",
    "<br>__[Dany Cajas](https://www.linkedin.com/in/dany-cajas/)__\n",
    "<a href='https://ko-fi.com/B0B833SXD' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://cdn.ko-fi.com/cdn/kofi1.png?v=2' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a> \n",
    "\n",
    "## Tutorial 11: Risk Parity Portfolio Optimization with Risk Factors using Stepwise Regression\n",
    "\n",
    "## 1. Downloading the data:"
   ]
  },
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     "text": [
      "[*********************100%%**********************]  30 of 30 completed\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "\n",
    "# Date range\n",
    "start = '2016-01-01'\n",
    "end = '2019-12-30'\n",
    "\n",
    "# Tickers of assets\n",
    "assets = ['JCI', 'TGT', 'CMCSA', 'CPB', 'MO', 'APA', 'MMC', 'JPM',\n",
    "          'ZION', 'PSA', 'BAX', 'BMY', 'LUV', 'PCAR', 'TXT', 'TMO',\n",
    "          'DE', 'MSFT', 'HPQ', 'SEE', 'VZ', 'CNP', 'NI', 'T', 'BA']\n",
    "assets.sort()\n",
    "\n",
    "# Tickers of factors\n",
    "\n",
    "factors = ['MTUM', 'QUAL', 'VLUE', 'SIZE', 'USMV']\n",
    "factors.sort()\n",
    "\n",
    "tickers = assets + factors\n",
    "tickers.sort()\n",
    "\n",
    "# Downloading data\n",
    "data = yf.download(tickers, start = start, end = end)\n",
    "data = data.loc[:,('Adj Close', slice(None))]\n",
    "data.columns = tickers"
   ]
  },
  {
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   "execution_count": 3,
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       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MTUM</th>\n",
       "      <th>QUAL</th>\n",
       "      <th>SIZE</th>\n",
       "      <th>USMV</th>\n",
       "      <th>VLUE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>0.4735%</td>\n",
       "      <td>0.2672%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.6780%</td>\n",
       "      <td>0.1635%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>-0.5267%</td>\n",
       "      <td>-1.1914%</td>\n",
       "      <td>-0.5380%</td>\n",
       "      <td>-0.6253%</td>\n",
       "      <td>-1.8277%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>-2.2293%</td>\n",
       "      <td>-2.3798%</td>\n",
       "      <td>-1.7181%</td>\n",
       "      <td>-1.6215%</td>\n",
       "      <td>-2.1609%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>-0.9549%</td>\n",
       "      <td>-1.1377%</td>\n",
       "      <td>-1.1978%</td>\n",
       "      <td>-1.0086%</td>\n",
       "      <td>-1.0873%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>0.6043%</td>\n",
       "      <td>0.1479%</td>\n",
       "      <td>-0.5898%</td>\n",
       "      <td>0.1491%</td>\n",
       "      <td>-0.6184%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "               MTUM     QUAL     SIZE     USMV     VLUE\n",
       "Date                                                   \n",
       "2016-01-05  0.4735%  0.2672%  0.0000%  0.6780%  0.1635%\n",
       "2016-01-06 -0.5267% -1.1914% -0.5380% -0.6253% -1.8277%\n",
       "2016-01-07 -2.2293% -2.3798% -1.7181% -1.6215% -2.1609%\n",
       "2016-01-08 -0.9549% -1.1377% -1.1978% -1.0086% -1.0873%\n",
       "2016-01-11  0.6043%  0.1479% -0.5898%  0.1491% -0.6184%"
      ]
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   "source": [
    "# Calculating returns\n",
    "\n",
    "X = data[factors].pct_change().dropna()\n",
    "Y = data[assets].pct_change().dropna()\n",
    "\n",
    "display(X.head())"
   ]
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   "source": [
    "## 2. Estimating Mean Variance Portfolios\n",
    "\n",
    "### 2.1 Estimating the loadings matrix.\n",
    "\n",
    "This part is just to visualize how Riskfolio-Lib calculates a loadings matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row0\" class=\"row_heading level0 row0\" >APA</th>\n",
       "      <td id=\"T_87239_row0_col0\" class=\"data row0 col0\" >-0.0006</td>\n",
       "      <td id=\"T_87239_row0_col1\" class=\"data row0 col1\" >-0.6551</td>\n",
       "      <td id=\"T_87239_row0_col2\" class=\"data row0 col2\" >0.0000</td>\n",
       "      <td id=\"T_87239_row0_col3\" class=\"data row0 col3\" >0.9406</td>\n",
       "      <td id=\"T_87239_row0_col4\" class=\"data row0 col4\" >-0.7883</td>\n",
       "      <td id=\"T_87239_row0_col5\" class=\"data row0 col5\" >1.7237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row1\" class=\"row_heading level0 row1\" >BA</th>\n",
       "      <td id=\"T_87239_row1_col0\" class=\"data row1 col0\" >0.0005</td>\n",
       "      <td id=\"T_87239_row1_col1\" class=\"data row1 col1\" >0.0000</td>\n",
       "      <td id=\"T_87239_row1_col2\" class=\"data row1 col2\" >1.1744</td>\n",
       "      <td id=\"T_87239_row1_col3\" class=\"data row1 col3\" >0.3616</td>\n",
       "      <td id=\"T_87239_row1_col4\" class=\"data row1 col4\" >-0.4323</td>\n",
       "      <td id=\"T_87239_row1_col5\" class=\"data row1 col5\" >0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row2\" class=\"row_heading level0 row2\" >BAX</th>\n",
       "      <td id=\"T_87239_row2_col0\" class=\"data row2 col0\" >0.0003</td>\n",
       "      <td id=\"T_87239_row2_col1\" class=\"data row2 col1\" >0.3146</td>\n",
       "      <td id=\"T_87239_row2_col2\" class=\"data row2 col2\" >0.0000</td>\n",
       "      <td id=\"T_87239_row2_col3\" class=\"data row2 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row2_col4\" class=\"data row2 col4\" >0.7717</td>\n",
       "      <td id=\"T_87239_row2_col5\" class=\"data row2 col5\" >0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row3\" class=\"row_heading level0 row3\" >BMY</th>\n",
       "      <td id=\"T_87239_row3_col0\" class=\"data row3 col0\" >-0.0003</td>\n",
       "      <td id=\"T_87239_row3_col1\" class=\"data row3 col1\" >0.0000</td>\n",
       "      <td id=\"T_87239_row3_col2\" class=\"data row3 col2\" >0.8123</td>\n",
       "      <td id=\"T_87239_row3_col3\" class=\"data row3 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row3_col4\" class=\"data row3 col4\" >0.0000</td>\n",
       "      <td id=\"T_87239_row3_col5\" class=\"data row3 col5\" >0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row4\" class=\"row_heading level0 row4\" >CMCSA</th>\n",
       "      <td id=\"T_87239_row4_col0\" class=\"data row4 col0\" >0.0001</td>\n",
       "      <td id=\"T_87239_row4_col1\" class=\"data row4 col1\" >0.0000</td>\n",
       "      <td id=\"T_87239_row4_col2\" class=\"data row4 col2\" >0.4958</td>\n",
       "      <td id=\"T_87239_row4_col3\" class=\"data row4 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row4_col4\" class=\"data row4 col4\" >0.4962</td>\n",
       "      <td id=\"T_87239_row4_col5\" class=\"data row4 col5\" >0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row5\" class=\"row_heading level0 row5\" >CNP</th>\n",
       "      <td id=\"T_87239_row5_col0\" class=\"data row5 col0\" >0.0001</td>\n",
       "      <td id=\"T_87239_row5_col1\" class=\"data row5 col1\" >-0.5595</td>\n",
       "      <td id=\"T_87239_row5_col2\" class=\"data row5 col2\" >-0.2157</td>\n",
       "      <td id=\"T_87239_row5_col3\" class=\"data row5 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row5_col4\" class=\"data row5 col4\" >1.8341</td>\n",
       "      <td id=\"T_87239_row5_col5\" class=\"data row5 col5\" >0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row6\" class=\"row_heading level0 row6\" >CPB</th>\n",
       "      <td id=\"T_87239_row6_col0\" class=\"data row6 col0\" >-0.0003</td>\n",
       "      <td id=\"T_87239_row6_col1\" class=\"data row6 col1\" >-0.4782</td>\n",
       "      <td id=\"T_87239_row6_col2\" class=\"data row6 col2\" >-0.5994</td>\n",
       "      <td id=\"T_87239_row6_col3\" class=\"data row6 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row6_col4\" class=\"data row6 col4\" >2.0794</td>\n",
       "      <td id=\"T_87239_row6_col5\" class=\"data row6 col5\" >0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row7\" class=\"row_heading level0 row7\" >DE</th>\n",
       "      <td id=\"T_87239_row7_col0\" class=\"data row7 col0\" >0.0004</td>\n",
       "      <td id=\"T_87239_row7_col1\" class=\"data row7 col1\" >0.0000</td>\n",
       "      <td id=\"T_87239_row7_col2\" class=\"data row7 col2\" >0.0000</td>\n",
       "      <td id=\"T_87239_row7_col3\" class=\"data row7 col3\" >0.3631</td>\n",
       "      <td id=\"T_87239_row7_col4\" class=\"data row7 col4\" >0.0000</td>\n",
       "      <td id=\"T_87239_row7_col5\" class=\"data row7 col5\" >0.8090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row8\" class=\"row_heading level0 row8\" >HPQ</th>\n",
       "      <td id=\"T_87239_row8_col0\" class=\"data row8 col0\" >0.0002</td>\n",
       "      <td id=\"T_87239_row8_col1\" class=\"data row8 col1\" >0.0000</td>\n",
       "      <td id=\"T_87239_row8_col2\" class=\"data row8 col2\" >0.0000</td>\n",
       "      <td id=\"T_87239_row8_col3\" class=\"data row8 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row8_col4\" class=\"data row8 col4\" >0.0000</td>\n",
       "      <td id=\"T_87239_row8_col5\" class=\"data row8 col5\" >1.2514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row9\" class=\"row_heading level0 row9\" >JCI</th>\n",
       "      <td id=\"T_87239_row9_col0\" class=\"data row9 col0\" >0.0001</td>\n",
       "      <td id=\"T_87239_row9_col1\" class=\"data row9 col1\" >0.0000</td>\n",
       "      <td id=\"T_87239_row9_col2\" class=\"data row9 col2\" >0.0000</td>\n",
       "      <td id=\"T_87239_row9_col3\" class=\"data row9 col3\" >0.3412</td>\n",
       "      <td id=\"T_87239_row9_col4\" class=\"data row9 col4\" >0.0000</td>\n",
       "      <td id=\"T_87239_row9_col5\" class=\"data row9 col5\" >0.5797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row10\" class=\"row_heading level0 row10\" >JPM</th>\n",
       "      <td id=\"T_87239_row10_col0\" class=\"data row10 col0\" >0.0005</td>\n",
       "      <td id=\"T_87239_row10_col1\" class=\"data row10 col1\" >0.0000</td>\n",
       "      <td id=\"T_87239_row10_col2\" class=\"data row10 col2\" >0.3077</td>\n",
       "      <td id=\"T_87239_row10_col3\" class=\"data row10 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row10_col4\" class=\"data row10 col4\" >-0.5486</td>\n",
       "      <td id=\"T_87239_row10_col5\" class=\"data row10 col5\" >1.1512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row11\" class=\"row_heading level0 row11\" >LUV</th>\n",
       "      <td id=\"T_87239_row11_col0\" class=\"data row11 col0\" >-0.0001</td>\n",
       "      <td id=\"T_87239_row11_col1\" class=\"data row11 col1\" >0.0000</td>\n",
       "      <td id=\"T_87239_row11_col2\" class=\"data row11 col2\" >0.0000</td>\n",
       "      <td id=\"T_87239_row11_col3\" class=\"data row11 col3\" >0.3642</td>\n",
       "      <td id=\"T_87239_row11_col4\" class=\"data row11 col4\" >0.0000</td>\n",
       "      <td id=\"T_87239_row11_col5\" class=\"data row11 col5\" >0.6767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row12\" class=\"row_heading level0 row12\" >MMC</th>\n",
       "      <td id=\"T_87239_row12_col0\" class=\"data row12 col0\" >0.0003</td>\n",
       "      <td id=\"T_87239_row12_col1\" class=\"data row12 col1\" >-0.2693</td>\n",
       "      <td id=\"T_87239_row12_col2\" class=\"data row12 col2\" >0.6808</td>\n",
       "      <td id=\"T_87239_row12_col3\" class=\"data row12 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row12_col4\" class=\"data row12 col4\" >0.6066</td>\n",
       "      <td id=\"T_87239_row12_col5\" class=\"data row12 col5\" >0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row13\" class=\"row_heading level0 row13\" >MO</th>\n",
       "      <td id=\"T_87239_row13_col0\" class=\"data row13 col0\" >-0.0004</td>\n",
       "      <td id=\"T_87239_row13_col1\" class=\"data row13 col1\" >-0.4572</td>\n",
       "      <td id=\"T_87239_row13_col2\" class=\"data row13 col2\" >0.0000</td>\n",
       "      <td id=\"T_87239_row13_col3\" class=\"data row13 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row13_col4\" class=\"data row13 col4\" >1.4359</td>\n",
       "      <td id=\"T_87239_row13_col5\" class=\"data row13 col5\" >0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row14\" class=\"row_heading level0 row14\" >MSFT</th>\n",
       "      <td id=\"T_87239_row14_col0\" class=\"data row14 col0\" >0.0005</td>\n",
       "      <td id=\"T_87239_row14_col1\" class=\"data row14 col1\" >1.0302</td>\n",
       "      <td id=\"T_87239_row14_col2\" class=\"data row14 col2\" >0.6530</td>\n",
       "      <td id=\"T_87239_row14_col3\" class=\"data row14 col3\" >-0.2640</td>\n",
       "      <td id=\"T_87239_row14_col4\" class=\"data row14 col4\" >-0.2595</td>\n",
       "      <td id=\"T_87239_row14_col5\" class=\"data row14 col5\" >0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row15\" class=\"row_heading level0 row15\" >NI</th>\n",
       "      <td id=\"T_87239_row15_col0\" class=\"data row15 col0\" >-0.0000</td>\n",
       "      <td id=\"T_87239_row15_col1\" class=\"data row15 col1\" >-0.4648</td>\n",
       "      <td id=\"T_87239_row15_col2\" class=\"data row15 col2\" >-0.4612</td>\n",
       "      <td id=\"T_87239_row15_col3\" class=\"data row15 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row15_col4\" class=\"data row15 col4\" >2.3257</td>\n",
       "      <td id=\"T_87239_row15_col5\" class=\"data row15 col5\" >-0.3532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row16\" class=\"row_heading level0 row16\" >PCAR</th>\n",
       "      <td id=\"T_87239_row16_col0\" class=\"data row16 col0\" >0.0003</td>\n",
       "      <td id=\"T_87239_row16_col1\" class=\"data row16 col1\" >-0.4420</td>\n",
       "      <td id=\"T_87239_row16_col2\" class=\"data row16 col2\" >1.0319</td>\n",
       "      <td id=\"T_87239_row16_col3\" class=\"data row16 col3\" >0.2217</td>\n",
       "      <td id=\"T_87239_row16_col4\" class=\"data row16 col4\" >-0.4831</td>\n",
       "      <td id=\"T_87239_row16_col5\" class=\"data row16 col5\" >0.7536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row17\" class=\"row_heading level0 row17\" >PSA</th>\n",
       "      <td id=\"T_87239_row17_col0\" class=\"data row17 col0\" >-0.0004</td>\n",
       "      <td id=\"T_87239_row17_col1\" class=\"data row17 col1\" >-0.3311</td>\n",
       "      <td id=\"T_87239_row17_col2\" class=\"data row17 col2\" >0.0000</td>\n",
       "      <td id=\"T_87239_row17_col3\" class=\"data row17 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row17_col4\" class=\"data row17 col4\" >1.7073</td>\n",
       "      <td id=\"T_87239_row17_col5\" class=\"data row17 col5\" >-0.4915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row18\" class=\"row_heading level0 row18\" >SEE</th>\n",
       "      <td id=\"T_87239_row18_col0\" class=\"data row18 col0\" >-0.0005</td>\n",
       "      <td id=\"T_87239_row18_col1\" class=\"data row18 col1\" >-0.3267</td>\n",
       "      <td id=\"T_87239_row18_col2\" class=\"data row18 col2\" >0.0000</td>\n",
       "      <td id=\"T_87239_row18_col3\" class=\"data row18 col3\" >0.2594</td>\n",
       "      <td id=\"T_87239_row18_col4\" class=\"data row18 col4\" >0.6973</td>\n",
       "      <td id=\"T_87239_row18_col5\" class=\"data row18 col5\" >0.4802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row19\" class=\"row_heading level0 row19\" >T</th>\n",
       "      <td id=\"T_87239_row19_col0\" class=\"data row19 col0\" >0.0000</td>\n",
       "      <td id=\"T_87239_row19_col1\" class=\"data row19 col1\" >-0.4414</td>\n",
       "      <td id=\"T_87239_row19_col2\" class=\"data row19 col2\" >-0.3693</td>\n",
       "      <td id=\"T_87239_row19_col3\" class=\"data row19 col3\" >-0.2898</td>\n",
       "      <td id=\"T_87239_row19_col4\" class=\"data row19 col4\" >1.2928</td>\n",
       "      <td id=\"T_87239_row19_col5\" class=\"data row19 col5\" >0.7563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row20\" class=\"row_heading level0 row20\" >TGT</th>\n",
       "      <td id=\"T_87239_row20_col0\" class=\"data row20 col0\" >0.0005</td>\n",
       "      <td id=\"T_87239_row20_col1\" class=\"data row20 col1\" >0.0000</td>\n",
       "      <td id=\"T_87239_row20_col2\" class=\"data row20 col2\" >0.0000</td>\n",
       "      <td id=\"T_87239_row20_col3\" class=\"data row20 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row20_col4\" class=\"data row20 col4\" >0.0000</td>\n",
       "      <td id=\"T_87239_row20_col5\" class=\"data row20 col5\" >0.7562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row21\" class=\"row_heading level0 row21\" >TMO</th>\n",
       "      <td id=\"T_87239_row21_col0\" class=\"data row21 col0\" >0.0002</td>\n",
       "      <td id=\"T_87239_row21_col1\" class=\"data row21 col1\" >0.2867</td>\n",
       "      <td id=\"T_87239_row21_col2\" class=\"data row21 col2\" >0.5400</td>\n",
       "      <td id=\"T_87239_row21_col3\" class=\"data row21 col3\" >0.0000</td>\n",
       "      <td id=\"T_87239_row21_col4\" class=\"data row21 col4\" >0.3864</td>\n",
       "      <td id=\"T_87239_row21_col5\" class=\"data row21 col5\" >0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row22\" class=\"row_heading level0 row22\" >TXT</th>\n",
       "      <td id=\"T_87239_row22_col0\" class=\"data row22 col0\" >-0.0003</td>\n",
       "      <td id=\"T_87239_row22_col1\" class=\"data row22 col1\" >0.0000</td>\n",
       "      <td id=\"T_87239_row22_col2\" class=\"data row22 col2\" >0.4484</td>\n",
       "      <td id=\"T_87239_row22_col3\" class=\"data row22 col3\" >0.4429</td>\n",
       "      <td id=\"T_87239_row22_col4\" class=\"data row22 col4\" >-0.6363</td>\n",
       "      <td id=\"T_87239_row22_col5\" class=\"data row22 col5\" >0.8108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row23\" class=\"row_heading level0 row23\" >VZ</th>\n",
       "      <td id=\"T_87239_row23_col0\" class=\"data row23 col0\" >0.0000</td>\n",
       "      <td id=\"T_87239_row23_col1\" class=\"data row23 col1\" >-0.5099</td>\n",
       "      <td id=\"T_87239_row23_col2\" class=\"data row23 col2\" >-0.5271</td>\n",
       "      <td id=\"T_87239_row23_col3\" class=\"data row23 col3\" >-0.2886</td>\n",
       "      <td id=\"T_87239_row23_col4\" class=\"data row23 col4\" >1.8941</td>\n",
       "      <td id=\"T_87239_row23_col5\" class=\"data row23 col5\" >0.4321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87239_level0_row24\" class=\"row_heading level0 row24\" >ZION</th>\n",
       "      <td id=\"T_87239_row24_col0\" class=\"data row24 col0\" >0.0004</td>\n",
       "      <td id=\"T_87239_row24_col1\" class=\"data row24 col1\" >-0.2371</td>\n",
       "      <td id=\"T_87239_row24_col2\" class=\"data row24 col2\" >0.0000</td>\n",
       "      <td id=\"T_87239_row24_col3\" class=\"data row24 col3\" >0.3553</td>\n",
       "      <td id=\"T_87239_row24_col4\" class=\"data row24 col4\" >-0.8204</td>\n",
       "      <td id=\"T_87239_row24_col5\" class=\"data row24 col5\" >1.6431</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x310509350>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import riskfolio as rp\n",
    "\n",
    "step = 'Forward' # Could be Forward or Backward stepwise regression\n",
    "loadings = rp.loadings_matrix(X=X, Y=Y, stepwise=step)\n",
    "\n",
    "loadings.style.format(\"{:.4f}\").background_gradient(cmap='RdYlGn')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Calculating the portfolio that maximizes Sharpe ratio."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>5.9508%</td>\n",
       "      <td>11.8688%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>9.7091%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>4.3627%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>10.4799%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>5.5106%</td>\n",
       "      <td>1.3029%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>4.0984%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            APA      BA      BAX     BMY   CMCSA     CNP     CPB      DE  \\\n",
       "weights 0.0000% 5.9508% 11.8688% 0.0000% 0.0000% 9.7091% 0.0000% 4.3627%   \n",
       "\n",
       "            HPQ     JCI  ...       NI    PCAR     PSA     SEE       T     TGT  \\\n",
       "weights 0.0000% 0.0000%  ... 10.4799% 0.0000% 0.0000% 0.0000% 0.0000% 5.5106%   \n",
       "\n",
       "            TMO     TXT      VZ    ZION  \n",
       "weights 1.3029% 0.0000% 4.0984% 0.0000%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Building the portfolio object\n",
    "port = rp.Portfolio(returns=Y)\n",
    "\n",
    "# Calculating optimum portfolio\n",
    "\n",
    "# Select method and estimate input parameters:\n",
    "\n",
    "method_mu='hist' # Method to estimate expected returns based on historical data.\n",
    "method_cov='hist' # Method to estimate covariance matrix based on historical data.\n",
    "\n",
    "port.assets_stats(method_mu=method_mu, method_cov=method_cov)\n",
    "\n",
    "port.factors = X\n",
    "port.factors_stats(method_mu=method_mu, method_cov=method_cov)\n",
    "\n",
    "# Estimate optimal portfolio:\n",
    "\n",
    "model='FM' # Factor Model\n",
    "rm = 'MV' # Risk measure used, this time will be variance\n",
    "obj = 'Sharpe' # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "hist = False # Use historical scenarios for risk measures that depend on scenarios\n",
    "rf = 0 # Risk free rate\n",
    "l = 0 # Risk aversion factor, only useful when obj is 'Utility'\n",
    "\n",
    "w = port.optimization(model=model, rm=rm, obj=obj, rf=rf, l=l, hist=hist)\n",
    "\n",
    "display(w.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the composition of the portfolio\n",
    "\n",
    "ax = rp.plot_pie(w=w, title='Sharpe FM Mean Variance', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "                 height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 Plotting Risk Contribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the risk composition of the portfolio\n",
    "\n",
    "ax = rp.plot_risk_con(w, cov=port.cov, returns=port.returns, rm=rm, rf=0, alpha=0.01,\n",
    "                      color=\"tab:blue\", height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Estimating Risk Parity Portfolios Using Risk Factors with Other Risk Measures\n",
    "\n",
    "In this part I will calculate risk parity portfolios using factors models. First I'm going to calculate risk parity portfolio when we use variance as risk measure, then I'm going to calculate the risk parity portfolios for all available risk measures.\n",
    "\n",
    "### 3.1 Calculating the risk parity portfolio for variance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>2.3351%</td>\n",
       "      <td>3.1186%</td>\n",
       "      <td>3.9879%</td>\n",
       "      <td>4.0279%</td>\n",
       "      <td>4.0297%</td>\n",
       "      <td>5.3658%</td>\n",
       "      <td>5.2661%</td>\n",
       "      <td>3.0161%</td>\n",
       "      <td>2.7124%</td>\n",
       "      <td>3.7665%</td>\n",
       "      <td>...</td>\n",
       "      <td>6.5957%</td>\n",
       "      <td>3.0652%</td>\n",
       "      <td>6.6765%</td>\n",
       "      <td>3.6181%</td>\n",
       "      <td>4.7122%</td>\n",
       "      <td>3.8285%</td>\n",
       "      <td>3.3389%</td>\n",
       "      <td>3.0019%</td>\n",
       "      <td>5.4388%</td>\n",
       "      <td>3.0062%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            APA      BA     BAX     BMY   CMCSA     CNP     CPB      DE  \\\n",
       "weights 2.3351% 3.1186% 3.9879% 4.0279% 4.0297% 5.3658% 5.2661% 3.0161%   \n",
       "\n",
       "            HPQ     JCI  ...      NI    PCAR     PSA     SEE       T     TGT  \\\n",
       "weights 2.7124% 3.7665%  ... 6.5957% 3.0652% 6.6765% 3.6181% 4.7122% 3.8285%   \n",
       "\n",
       "            TMO     TXT      VZ    ZION  \n",
       "weights 3.3389% 3.0019% 5.4388% 3.0062%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "b = None # Risk contribution constraints vector\n",
    "\n",
    "w_rp = port.rp_optimization(model=model, rm=rm, rf=rf, b=b, hist=hist)\n",
    "\n",
    "display(w_rp.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JUygI4MWLF7i7u1O6dGnU1NSwsLBg/PjxvH37NstznT9/HolEku4VGBiY5X4hISF07NgRbW1tjIyMGDduHAkJCYr1wcHBNGvWDB0dHZo3b56uOmn79u05cODAFz4JQRCKsidPnnD27FmGDRuGmZlZur9rgiAUP8HBwdSuXZuzZ8+yfPly7t69y4kTJ3BwcEhXQNDDw4PQ0FDu3LlDly5dGDFiBHv37lWs19PTIzQ0lNDQUG7evImjoyO9evUiKCjoi3EEBQUp9g0NDaVixYqZbiuVSuncuTNHjhzh4cOH+Pr6cvr06TT3cZMmTaJMmTLcvHkTU1NTJk+erFi3Z88eZDJZpgm3IAj5R4zpLmbKlSvHnj17+PHHHxXjEOLj49m9e3e6IkNPnz6lYcOG2NjYsHv3bqysrLh//z5Tpkzh+PHjXL16lZIlS2Z5vqCgIMXTWCDTLq2QOkalffv2GBsb88cff/D27VsGDhyIXC5XTGPz+eKyZcsWZs+ezeTJk9m/fz8gLi6CIKRauHAh27dvx87Ojv3794sueIIgKBoXrl27hra2tmJ5lSpVGDx4cJptdXV1MTU1BWDRokXs27ePQ4cO4eLiAqS2Dn9eb2pqyqJFi1ixYgV37tzB1tY2yzhMTEwoUaJEtmI2MDBg5MiRiq8tLCwYNWoU33//vWJZQEAAP/zwAxUrVsTNzU2RdH/48IHZs2eLegzFTEhISL5N8WhkZJSjAqXFnUi6ixl7e3uePn3KwYMH6du3L5A632y5cuUoX758mm1Hjx6Nmpoafn5+igTd3NycWrVqYW1tzaxZs9JNa/NfObm4+Pn58eDBA168eEHp0qUBWLlyJW5ubnh6eqKnpycuLoIgfJGvry++vr7KDkMQhALi3bt3nDhxAk9PzzQJ92dfuk/R0NDIdLxmcnIy27ZtA1Lvsb6kVq1axMfHU7lyZWbPnp2jYpX//PMPBw8epHnz5oplNWrU4PTp07Rt2xY/Pz+qV68OwOTJkxkzZoxIioqRkJAQbCvZER8Xmy/n09DUIigwIEc/Y25ubmzduhUAFRUVypUrR7du3ViwYAHa2tocOHCA5cuXExgYSEpKCubm5jg5ObFy5cp0x2rbti1nzpzh8uXLuTLbSl4TSXcxNGjQIHx8fBRJt7e3N4MHD+b8+fOKbd69e8fJkyfx9PRUJNyfmZqa0rdvX/bu3cv69euznKYgJxeXK1euULVqVUXCDakFgD59+sSNGzdwcHAQFxdBEARBEHLk8ePHyOXyTMdOZyYpKYkdO3Zw9+7dNC3OkZGR6OjoAKnTFqqqqrJp0yasra0zPZaZmRmbNm2idu3afPr0ie3bt9OqVSvOnz9Ps2bNsozD1dWVw4cPExcXR8eOHfn5558V61asWMHw4cOxtLSkevXq/PTTT1y8eJHbt2+zfPlyevXqxfXr12nbti1r1qwRUwIWYREREcTHxWLYYRKqhjmfYjInEt++4O3vK4mIiMjxvbeTkxM+Pj4kJiZy6dIlhgwZwsePH+nevTu9e/dm8eLFdOrUCYlEwoMHDzhz5ky6Y4SEhHDlyhXGjBnDli1bRNItFEz9+/dnxowZBAcHI5FIuHz5Mnv27EmTdD969Ai5XI6dnV2Gx7Czs+P9+/eEh4djYmKSbv3XXFzCwsLSVNOF1K5VampqhIWFAbl7cXn9+vU3T1skCMVRqVKlMDAwUHYYhd7u3btZt26dssMQhELP2NiYPXv2ZFrE6HOhsOzOZTxt2jRmz57Np0+fUFNTY8qUKYpCapDa/dzf3x+A2NhYTp8+zfDhwzE0NKRjx44ZHtPW1jZN1/OGDRvy4sULVqxY8cWk+8cff2TevHkEBQUxc+ZMvvvuO9avXw9AmTJl+P333xXbfvr0CUdHR7Zt28aiRYvQ1dUlKCgIJycnfvrpJ8aOHZutz0AovFQNy6FuWkHZYWRKXV1dMTyjT58+nDt3jkOHDqGurk6TJk2YMmWKYlsbG5t0s4dA6jSgHTp0YOTIkdSrV49Vq1Zl2IulIBFJdzFkZGRE+/bt2bp1K3K5nPbt22NkZJSjY3zpAva1F5eMjieXyxXLc+vikpSUhKWlJfHx8V9+s4IgpGFlZcXTp0+VHUaht23bNkJDQ2nRooWyQxGEQs3Y2DjL+XErVqyIRCIhICAgwxv4/5oyZQpubm5oaWlhZmaW7t5EKpVSocL/JzXVq1fHz8+PZcuWZZp0Z6RBgwbs2LHji9uZmppiampKpUqVMDQ0pGnTpsyZMwczM7N023p6etK2bVvs7e0ZMmQIixYtQlVVlW7dunH27FmRdAsFjqamJomJiZiamrJr1y7u3btH1apVM91eLpfj4+ODl5cXlSpVwsbGhn379qWZVaAgEkl3MTV48GDGjBkDgJeXV7r1FSpUUHTryOgCFRgYiIGBQY6S9S9dXExNTfnrr7/SLHv//j2JiYnpWsA/+9qLi4qKCrdv3+bNmzfZjl8QBLhw4QKzZ8/m3bt3XyykKGQtMDCQXr16sWzZMmWHIghFWsmSJXF0dMTLy4tx48alaxH78OFDmnHdRkZGaZLq7JDJZMTFxeVon5s3b2aYOGflc6PHp0+f0q0LCAhg9+7d3Lx5E0gdb/55LHpiYiLJyck5Opcg5LVr166xa9cuWrVqxdixY7l06RLVqlXDwsKCBg0a0LZtW/r27Yu6urpin9OnTxMbG4ujoyMA/fr1Y8uWLSLpFgomJycnxVRcn39o/83Q0JA2bdqwfv16Jk6cmGZcd1hYGDt37mTAgAHZ7qoFX764NGzYEE9PT0JDQxXb+fn5oa6uTu3atdNt/60XFxsbG2xsbLIdvyAIqUM+Zs+ezf3792natKmywym04uLieP78+RcrHQuCkDvWr19Po0aNqFevHh4eHlSvXp2kpCROnTrFhg0bCAgIyPax5HK5YthbXFwcp06d4uTJk8ydOzfTfVatWoWlpSVVqlQhISGBHTt2cODAgTTTnP7666/MmDFDMb3qsWPHeP36NXXr1kVHR4cHDx4wdepUGjdujKWlZbqYhg0bxo8//qgYb964cWM2b96MjY0N27Ztw9XVNdvvURDyyu+//46Ojg5JSUkkJibSuXNn1q5di7a2NkePHuXJkyecO3eOq1evMmnSJFavXs2VK1cUM5Fs2bIFFxcXVFRS01hXV1emTJlCUFBQgb6minm6iymZTEZAQAABAQGZdslat26dovv2xYsXefHiBSdOnKBNmzaUKVMGT0/PTI+/atUqDh06xKNHj7h//z4zZszgwIEDitZ1SL24/LuoSdu2balcuTL9+/fn5s2bnDlzhsmTJzN06NA0045B1heXgIAAtm3bRuPGjb/lIxIEIQMVK1ZERUWFe/fuKTuUQu1z3YycFnYSBOHrWFlZ4e/vj4ODA5MmTaJq1aq0adOGM2fOfHEmlv+KiorCzMwMMzMz7OzsWLlyJR4eHsyaNSvTfRISEpg8eTLVq1enadOm/PHHHxw9epRu3boptomMjEwz17empiabN2+mSZMm2NnZMWHCBDp06JBmmN1nmzZtolSpUnTo0EGxbP78+cTHx1O/fn0qVKiQbj5yQVAGBwcHbt26RVBQEPHx8Rw8eDBNfShra2uGDBnCzz//jL+/Pw8ePGDv3r1AaqHnQ4cOsX79elRUVFBRUaFMmTIkJSXh7e2trLeULaKluxj7byL7XxUrVuT69evMnz8fFxcX3r59i6mpKV26dGHevHlZdi39fHF59eoVmpqaVKlShaNHj+Ls7KzY5r8XF5lMxtGjRxk1ahSNGzdGU1OTPn36sGLFinTHz+zi0qdPH+rXr4+Tk5O4uAhCHlBTU8PW1lYk3d/oc0tWQX4qLwhFjZmZGevWrcuygGFwcHCWx3Bzc8PNzS3H5546dSpTp07N0bEdHBz4888/s3X84cOHpyn2BqnTtp4+fTrHsQpCXtLW1s728A1LS0u0tLT4+PEjADt37qRs2bIcOnQozXZnzpxhyZIleHp6KlrACxqJ/PPgEKFIkUgkiG9teuJzEYRv17t3b0JDQ7lw4YKyQym0PDw8WLdunagrIQh5QFzrs098VoVPfHw8z549w8rKKk3Ffn9/f2rXro3pwFV5Xr38U9hjwrZO4MaNG9man/4zNzc3Pnz4kC5phtTGs9jYWJydnbGwsODDhw+sWbOGvXv3cvPmTWxtbalZsyZOTk4sXbo0zb7R0dEYGxuzd+9eOnfu/K1vL0cy+378V8F8FCAIgiAUWFWrVuX06dNpZhYQciYwMFB0LRcEQRByXeLbF4XyHM2bN8fLy4sBAwbw+vVrDAwMqFWrFn5+ftja2nLjxg1u377N5s2b0+2rq6tL27Zt2bJlS74n3dklkm5BEAQhR6pUqcLbt295/fq1Yq5NIWcCAwOpU6eOssMQBEEQiggjIyM0NLV4+/vKfDmfhqZWjqcc9vX1zXSdg4MDDg4Oma6vXbt2lr0yjhw5kqNY8ptIugVBEIQc+Tx/5r1790TS/RVSUlIICgqiX79+yg5FEARBKCLMzc0JCgwgIiIiX85nZGSEubl5vpyrKBBJtyAIgpAj5cuXR0NDg/v379O6dWtlh1PovHr1itjYWFFETRAEQchV5ubmIhEuoMSUYYIgCEKOyGQyKleuLCqYf6XPlcvFmG5BEARBKB5ES7cgCIKQY1WqVBFJ91cKDAxETU0NS0tLZYciCEWShYWFKPKYTRYWFsoOQRCKBZF0F1HigpMxcXERhNxRtWpVDh06JCqYf4XAwEBsbGyQyWTKDkUQiqQvzbUtCIKQ30TSXUSJC44gCHmpatWqREdH8+LFCzF+LIfEdGGCIAiCULyIMd1CGpaWlkgkkiL7Et05BSF3VKlSBUB0Mf8KQUFBIukWBEEQhGJEtHQLaTx//jzLOfAKO9ENVhByh7m5OTo6Oty7dw9nZ2dlh1NoREdH8+rVK1G5XBAEQRCKEZF0C4IgCDkmkUioWrUq9+/fV3YohUpQUBAgKpcLQl6ytLTk+fPnyg6j0LCwsBDDEgUhj4mkWxAEQfgqVatWxd/fX9lhFCqfpwsTLd2CkHeKeq+93CZ6ARYdISEhRERE5Mu5jIyMRE2XHBBJtyAIgvBVqlSpwo4dO0hOThaVuLMpMDCQMmXKoKurq+xQBEEQhCIkJCQEOzs7YmNj8+V8WlpaBAQE5CjxdnNzY+vWrSxZsoTp06crlh86dIiuXbsil8s5f/48Dg4OvH//nhIlSuRB5Mohkm5BEAThq1StWpX4+HiePn1KxYoV8/RciYmJhIeH8+bNG2JjY0lISCAhIYFPnz4p/v/569evXyOTydDU1EQulytavFRVVdHQ0EBdXR0NDQ3F699fa2pqYmBggIGBAaqqqrn+PkTlckEQBCEvREREEBsby/j5XpS1zNtr8svgR6yeP5qIiIgct3ZraGiwbNkyhg8fjoGBQR5FWPCIpFvI0pe6HA0cOBBfX98st1myZAkzZ85k/PjxrFq1KtPtPj/9+q/KlSsrxo2eOnWK0aNH8/r1a7p06cLmzZtRU1MDIDIykrp163L69GnR3UUQ8kHVqlWB1HHKX5N0JyQk8ObNG16/fp3mFRYWlvrv67DU/795zfu373N8fBUNFZCAhNS/YykpKSQnJEM2e51q62pjYGCAoaEhRoZGGBkaYWhoSMmSJTExMaFcuXKKl7Gxcba6aJqamtKgQYMcvxdBEARByI6ylhWxtq2u7DAy1bp1ax4/fsySJUtYvny5ssPJNyLpFrIUGhqq+P/evXuZO3euohAQgKamZpb7//3332zatInq1b/8y7969WqWLl2q+DopKYkaNWrQs2dPIPWGuW/fvkyfPh1HR0d69OjB5s2bGT16NADTpk1jxIgRIuEWhHxiamrK1q1badiwYbp1crmcly9fEhAQQGBgIE+ePPlXIh3K69ev+fA+Mt1+OgY66BvpomOoja6RNmb1DbE1skTPSAc9Y110DXVQ01JDRVWGipoKKqoyZGoyVFRVUFGTIZVJ+cH1J4Ifv8B2Zfpx03K5HHmyHHli6islMQV50r++Tkgh+WNy6ismmfiP8YTEhPDswzPk/8iRf5ST/DGZT5GfSElMURxXTV0N09KmWFpYYmluqUjGra2tsbGxoWzZskilUtatW5e73wRBELItLCwMT09Pjh49yqtXrzAxMaFmzZpMmDCBVq1aAf9fhO3KlStpHpBNmDCBW7ducf78eQDmz5/PggULAJBKpZQuXRpHR0eWLFmCsbFxhuf/9z6flSpVirCwsGzFf/nyZZo3b07VqlW5deuWYrlokBAKE5lMxuLFi+nTpw/jxo2jbNmyyg4pX4ikW8iSqamp4v/6+vpIJJI0y7ISExND37592bx5M4sWLfri9vr6+ujr6yu+PnToEO/fv2fQoEFAareZ8PBwRo0ahYaGBp06deLBgwdA6oXo+vXreHl55eTtCYLwjXr37s3Dhw85d+4cgYGBBAQE8CDgAQ8fPiT2Y+q4MlV1VUzMjdA10kbXWIcy5U2wM7JGz0gHXSMd9Ix0U/9vqIOK2rdflqRSSaat2RKJBImKJPXql/UzwyzJU+QkRyeT+C5R8Yp9G8vtd7e5efUmSceSiH8XjzwlNRA1DTWsra2pXKkydnZ2VK5cmcqVK2Nra4uGhsbXByIIQrYEBwfTuHFjSpQowfLly6levTqJiYmcPHmS0aNHK4ocQmr312nTpnHhwoUsj1mlShVOnz5NcnIyN2/exN3dnVevXnH8+PEv7vNZduthREZGMmDAAFq1asXr168Vy0WDhFAYde3alZo1azJv3jy2bNmi7HDyhUi6hTwzevRo2rdvT+vWrbOVdP/Xli1baN26NRYWFgAYGxtjZmaGn58fbdq04dKlSwwcOJCEhARGjhyJt7e3KOYkCHkoIiKC27dvc+vWLW7fvs3NWzcJCgwiMTERAJ0SOphWMKZURSPatXPA1NoEU2sTDMsaIJVJ8y1OqUya55WLJVIJKvoqqOiroGmVcfYuT5aTEJFAQlgCn8JSx5q/DHjJ0XNHiX8XnxqrVIqFlQX16tSjdu3a2NvbY29vX6zGuQlCfhg1ahQSiYRr166hra2tWF6lShUGDx6cZtvhw4ezYcMGjh07hrOzc6bHVFFRUTRElClThnHjxjF37lzi4uIy7Qn4731yYvjw4fTp0weZTMahQ4cUy0WDhFBYLVu2jJYtWzJp0iRlh5IvRNIt5Ik9e/bg7+/P33///VX7h4aGcvz4cXbt2qVYJpFI2LdvHxMnTmT8+PE4OzszePBglixZQqtWrdDU1KRx48ZEREQwduxYxowZk+U5/v7772x36RKKPplMRuvWrRVd8oq7d+/ecfHiRa5du8bNWze5dfsWYf+k/r6oaahRtpIZpauUonuP9pSxNcW0ggm6hjpKjjqVVCbN9rjtvCSRSVAvpY56KXV0a6StVp78MZlP/3wi/p94ol5GcezWMQ4cPkBSfBIA5pbm1K9bX5GI165dm5IlSyrjbQhCoffu3TtOnDiBp6dnmoT7s/9WSLa0tGTEiBHMmDEDJycnpNLsPTTU1NQkJSWFpKSkTLd59OgRpUuXRl1dnfr167N48WLKly+f5XF9fHx48uQJO3bsSNeIIRokhMKqWbNmODo6MnPmTNzc3JQdTp4TSbeQ6168eMH48ePx8/P76m6Tvr6+lChRgi5duqRZ3qRJkzSJ/MOHD9m+fTs3b96kWbNmTJgwAScnJ6pWrUqzZs0yHUuenJxMq1atiI6O/qr4hKJp8ODBxaab039FRkZy8eJFzp07x5lzZ7h7+y5yuRyDUiUoU9mUml3sKGvXkrJ2pTGxNMrXluucKihJd1Zk2jK0KmqhVVFLsUyeIudT2Cfig+P5+PwjJ+6e4NDvh0iMS+1JYF3RmpYtWtK0aVOaNWum6AUkCELWHj9+jFwuz9HMAbNnz8bHx4edO3fSv3//L24fGBjIhg0bqFevXqZTAtavX59t27ZhY2PD69evWbRoEY0aNeL+/fsYGhpmuM+jR4+YPn06ly5dQkUl/W17bjdICEJ+Wrp0KTVr1sTGxkbZoeQ5kXQLue7GjRu8efOG2rVrK5YlJydz8eJF1q1bx6dPn7J86iqXy/H29qZ///5ZtjrK5XKGDRvGypUrSUlJ4ebNm/To0QMtLS2aN2/OhQsXMk26ZTIZ//zzDx8/fvz6NyoUKT4+PsyePZtp06YViz/+0dHR/PHHH4ok+5b/LVJSUjAsXZKKDazo36cHNg2tMSpb+FpXpTKpYix1YSKRStAorYFGaQ1KNCoBpCbiCW8SiHsWx/tH79l1YhebN28GoHTZ0rRs0ZJmzZrRrFkzbGxsslVBvSi5dOkSc+fOJTk5WdmhCEpkZGTEzp07M+3S/Xm4SU5+P4yNjZk8eTJz587FxcUlw23u3r2Ljo4OycnJfPr0iRYtWrBp06ZMj9muXTvF/6tVq0bDhg2xtrZm69atfPfdd+m2T05Opk+fPixYsCDL61JuNUgIQn6rVq0affv2Ze3atcoOJc+JpFvIda1ateLu3btplg0aNIhKlSoxbdq0L3ZzunDhAo8fP8bd3T3L7bZs2YKhoSGdOnXi/fvU6YQ+jy1NTEz84k2Yjo4OOjoFozusoHwTJkxg3bp1LFiwgJ07dyo7nFz38eNHLl++zLlz5zh37izXr98gOTkZg1L6VGhgRZ/uXbFtWAEj85KFPnGTyiSKacIKO4lUgrqpOuqm6pRoWAKApJgkYh/G8jHoI4f+PMTOXTuRp8gxNDakpUNL2jm1w8nJCTMzM+UGn8eSkpIYMmQIMpmMOnXqKDscQYmMjIyyvLeoWLEiEomEgICAdD3osvLdd9+xfv161q9fn+F6W1tbjhw5gkwmU3QZzwltbW2qVavGo0ePMlwfHR3N9evXuXnzpqKFOiUlBblcjoqKCn5+frRs2TLNPt/SICEUDS+DM/55KqjnWLhwIfv27cu14xVUIukWcp2urq5i/t7PtLW1MTQ0TLN8xowZvHr1im3btqXZdsuWLdSvXz/dMf7tzZs3LFq0iMuXLwNgYGCAnZ0dq1atom3btpw5c4aZM2fm4rsSijoNDQ1mz57NqFGjmDFjRpY/f4VBXFwcV65c4dy5c5w9d4a/r10nMTERfSM9KtS3wmVBJ2waWFOqfPbmly5Mitr7+S8VHRX07PXQs9cDIDkumdjHscQGxXL8xnH2798PcqhWvRodO3SkXbt2NGjQIMOuqYWZr68vDx8+xN/fn1q1aik7HKEAK1myJI6Ojnh5eTFu3Lh047o/fPiQblw3pD6cnzNnDvPnz6djx47p1qupqVGhQoWvjuvTp08EBATQtGnTDNfr6emla8RYv349Z8+e5ZdffsHKyirdPt/aICEUXkZGRmhpabF6/uh8OZ+WlhZGRkY52sfX1zfdMgsLC+Lj4xVft2jRIs+LoSpD0boCC4VKaGgoISEhaZZFRkZy4MABVq9eneW+48ePZ/LkyZQpU0axzNfXl4EDB7JmzRqmTJlCvXr18iRuoegaPHgwy5YtY/78+fzyyy/KDifHwsPDOXToEL/88gvnz58nISEBXQMdKta3ovvs9tg0KI9ZxVJFPiktDGO6c5NMU4ZuNV10q6WOI02KSiLmXgwhd0JYsXYFixcvRldfF8e2jji3cy4SreBxcXHMnz+f3r17i4RbyJb169fTqFEj6tWrh4eHB9WrVycpKYlTp06xYcMGAgICMtxv2LBh/Pjjj+zevZv69et/UwyTJ0+mY8eOmJubKxoPoqKiGDhwoGKbfzdISKXSdA+ATUxM0NDQyPDBsGiQKN7Mzc0JCAggIiIiX85nZGQkpqLLAZF0C9nm5ub21dUFz58/n25ZRk+79PX1iY2N/eLxdu/enW5ZvXr1Mr1oCkJ2qKmpMW/ePAYNGoS/vz/29vbKDumL/vnnH3799Vf2/7KfSxcvAVCxXnk6T3PEtmEFStuWynbl3aJCIivaDxW+REVPhRKNSlCiUQnkKXLinsURfSeaE/4nUh8myaFeg3r06tGL7t27Y2lpqeyQc8zLy4vXr1+zcOFCZYciFBJWVlb4+/vj6enJpEmTCA0NxdjYmNq1a7Nhw4ZM91NVVWXhwoX06dPnm2N4+fIlrq6uREREYGxsTIMGDbh69WqaoogZNUhkl2iQEMzNzUUiXEBJ5EWx/V74ahKJpEh26fisqL8/4dslJSVRpUoVKlasyO+//67scDL0/PlzDhw4wP4D+7n651VkKjIqNapATaeq1GhTBT2j4l2rwOe7Pfj73cHWK/uViouLpKgkou9EE30jmo/3PpKcmIytnS2tW7Zm4sSJWFtbKzvEL/rw4QPly5fHxcUly2RJKL7EtT5nxOdVuMTHx/Ps2TOsrKy+epYgIfdk9/shWroFQRD+RUVFhQULFuDq6sqVK1do2LChskMCUrsN7tu3D+/Nm7l39y5yVRmVm9owcEUvqreujLa+1pcPUkwU5OnMlE1FTwWDJgYYNDEgOS6ZmLsxPPr5EUEBQXh5eVHbvhYuvV3p1atXgZ2SbMWKFcTHxzNnzhxlhyIIgiAI2SLuTARBEP6jV69eVK1aVek39dHR0Wzfvh0nR0dKm5kxcfx4tJ8+JVEup0nveoz62Y2G3euIhPs/pFIJFJHq5XlJpilDw1yDlIQUxnWpzd7ZnbHUjmXunFlYWlrSrGkTfHx8iImJUXaoCmFhYfz444+MHz+e0qVLKzscQRAEQcgWkXQLgiD8h1QqxcPDgzNnzmRYjyAvJSYm8ttvv9HbxYVSxsYMGDCAiD//ZJaxMResyrOpTFkqa2hw68S9fI2rMJFIJcWqkNq3iPw7EqQwt19jejW345e5XXmzbww7pndEPfYf3N3dMTUtxaBBg7hw4YLSu6AuWrQINTU1pk6dqtQ4BEEQBCEnRPdyQRCEDHTp0gV7e3vmzJnDxYsX87zid1hYGD/99BM/rV9P6Js32GhpMUJXD+cyepRRVU2zrbOuLj+8CefD60hKlNLP07gKo9Tu5SLrzo6ov6IoZ6SL4b96S+hqqdO3VRX6tqpCyJtItvrdw9fvCL6+vpS3ssRt0GAGDhyY78V6nj59yk8//cSiRYswMDDI13MLgiAIwrcQLd2CIAgZkEgkLFq0iD/++AM/P788OYdcLufKlSv0cXXFvFw5li1aRNNPCRy0sORQOXOGGhqmS7gBnHT1SAGOrTuTJ3EVdhJp8Zoy7Gt9ev2J+Jfx9GqWecE5cxN95vRrzCOfoVxY2YdmFXVZtsQTS0tL2rRuxb59+xRzAOe1uXPnYmxszNixY/PlfIIgCIKQW0TSLaRhYWGBRCIpsq+CWhhIKJicnJxo1KgRs2fPztVutfHx8fj6+lLH3p5GjRpx+fBhvjMoyVlLK+abmlLpC9VIS6uqUk1TU3Qxz4S0mE8Zll1Rf0eBFKa7fLlYoFQqoVl1c3ymtCd0zyi2fNeO+DePcXFxwcrSAk9PT8LDw/Ms1tu3b7Nr1y7mzZuHlpaoYSAIgiAULqJ7uZBGcHCwskMQhALjc2t3y5YtOXLkCJ07d/6m47148YINGzaweeNGIt6/p6muLhvKlKWptjbSHHZf76Cry9I3b3j78h2GZUt+U1xFjVQmRcx+82WRf0VSpqQuRiVylsTqaqkzyKk6g5yqc+fpG9YeusGihQvw8FiAq2sfxo4dS+3atXM11lmzZmFtbc3gwYNz9bhC0fS5AUHIHtEgUXSEhIQQERGRL+cyMjISc4LngEi6BUEQsuDg4ICDgwNz5syhY8eOSKU56yAkl8u5cOECa1ev5tCRI2jLZHTR0cHVqjyWampfHZfj/5Luo2vPMGBZz68+TlGUWr1cyErCmwTiX8TTs1u1bzpO9fImbP6uHUuHtGDL8dt4/XaYrVu30qhhA8aOG0/37t1RzWCIRE5cunSJo0ePsmfPnm8+llA8iAYEoTgKCQnBrpItsXHx+XI+LU0NAgKDsp14d+zYkbi4OE6fPp1u3ZUrV2jUqBG6urpER0dneozz58/TvHnzr45ZmUTSLQiC8AULFy6kSZMm7N+/HxcXl2zt8/HjR3bs2MHa1au5HxCAtaYWs4yM6aSvh7ZU9s0xmaioUktTi7unHsCybz5ckSLJ4YOR4ijy70iQwIzeDXLleIZ6mkx1acB3Perx25VHrD18E1dXV0qbmTJm7DhGjRqFvn7Oi/7J5XJmzJhBrVq16NlTPFwSBEHITEREBLFx8ezoqomdcd5eBwPCU+j3axwRERHZTrrd3d3p1q0bz58/T9e7wtvbm5o1a3LmzBkSEhLSrEtISKB9+/ZoaGhQv379XHsP+U0k3YIgCF/QuHFj2rVrx7x58+jevTsqKpn/6Xz+/DmrV6/Ge/Nmoj9+xEFHl+/KlqOBllaud3dsr6vLojevef0snFJWxrl67MJMKhNThn1J1LUoShvqYGKgnavHVZFJ6drElq5NbLn77A1rD/mzYP5cli5ZwpixY5kwYQLGxtn/WT169CiXL1/mxIkTOe5lIgiCUBzZGUuxN/v2h/u5rUOHDpiYmODr68u8efMUy2NjY9m7dy+LFy+mZMn0w+WGDh1KeHg4169fR+MLNW8KMnEFEwRByIaFCxcSFBTErl27Mlz//Plzhg8fTsUKFfDx8qKHmhonraxYW7o0DbW182R8YRtdXQCOrRVVzP9NKpUiBnVnLiE8gbjncfRomnnV8txQzcqETROdeLZtBMOc7Fj940osLMyZMGECL1++/OL+ycnJzJgxgxYtWtC2bds8jVUQBEHIWyoqKgwYMABfX980xWn3799PQkICffv2TbfP+vXr2bZtGwcPHqRs2bL5GW6uE0m3IAhCNtSuXZuuXbvi5eWVZvnz588ZNmwYFStU4BdfX8YZGHDKwpJJxiaUUf36MdvZYaSiQl0tLe6fDcjT8xQ2EplENHRnIbe7ln+JmaEO3w9ryfMdI5jaozbbfDZTvrwVQ4cM4fHjx5nut3v3bu7du8eSJUtEUSxBEIQiYPDgwQQHB3P+/HnFMm9vb7p164aBgUGabS9evMiECRPw8vKiUaNG+Rxp7hNJtyAIQjZt2bKFVatWAWmT7QNbtzLOwICTFpa4lzREOx+7wbbX1SMmMo5XgaH5ds6CTirm6c5S1F9RmJXUwbSkTr6e11BPk/kDmvJ8+3A83Zry26/7sLW1pU8fVx48eJBm26SkJObMmUOXLl1o0CB/Hg4IgiAIeatSpUo0atQIb29vAJ48ecKlS5fSzUwREhJCjx49GDZsGEOGDFFGqLlOJN2CIAjZZGBgQNmyZdMl235KSLY/a6OrixQ45iW6mH8mlYlLW2Y+dy3v3sRGaTHoaqkzpVd9nm0bxtrRrbl89gRVq1ZlwID+PH36FICUlBRq1KjBsmWiSqAgCEJR4u7uzoEDB4iKisLHxwcLCwtatWqlWB8XF0fXrl2pUqWKoqGjKBB3JoIgCNkQERHBpEmTqGhtnS7Z1lJigacSMhkNtbUJvPBQaTEUNBKpRIzpzkTU9aj/dS1vqOxQ0FRXZVQnex75DGXdmDacPn4EW1tbRo4YQXh4OIcOHcLGRnkPBwRBEITc16tXL2QyGbt27WLr1q0MGjQozRCiIUOG8O7dO/bv359l4drCRiTdgiAIWYiJiWHhwoWUt7Rk05o1DNXT56SFhdKT7X9z1tXlY3Q8Ife+XJyqOJBKxZjuzERei8TUQJvSRrrKDkVBTVXGqE72PPYZyuJBTdm3ezsVKlgzY8YMPnz4oOzwBEEQhFyko6ODi4sLM2fO5J9//sHNzU2x7vvvv2f//v1s3LiRpKQkwsLC0rzi4uKUF/g3KjqPDwRBEHLRp0+f2LRpE4sWLODD+/e46usz1NSMkgXwqWsrHV3mEcaxdWcZsXGAssNROqlMjOnOSMLbBOKexTGoYy1lh5IhLQ1VpvSqz7D2NVix/xo/rPqBnzZuYNbsOYwePbpQTxUjCIKQXwLCUwr8Odzd3dmyZQtt27ZNM8/3+vXrSUxMxMnJKcP9fHx80iTphUnBu3sUBEFQIrlczq5du5g1YwYvXr6ks54+oy2tKK2qquzQMqUnk9FYR4e//3ik7FAKBIlMmmY6EiFV1N//61ruqvyu5VnR19ZgoVszRnW0Z8H2y0ybNpU1q1exbPn3uLi4iErmgiAIGTAyMkJLU4N+v+ZPa7CWpgZGRkZftW/Dhg0zvE4/e/bsW8MqsETSLQiC8D/3799n1PDhXLx8mdZ6eqyzsMRaXV3ZYWWLs64uF0JDeXozhPK1zL+8QxEmlUpES3cGIq9FUspAm7LGesoOJVvMDHXYOMGRid3rMO3nC7i6urJhvRdr1q6jRo0ayg5PEAShQDE3NycgMIiIiIh8OZ+RkVGaVmohayLpFgSh2Pv48SMLFy5k5YoVlFNT4+ey5Wikra3ssHLEQVsHFeC41xlG/zxI2eEoVWr1cpF1/1vC2wTinsYxsENNZYeSY7blDDm0oBt+158xbsMZ7O3tGTFiBB4eHhgaGio7PEEQhALD3NxcJMIFVMGoAiQIgqAkhw8fprKtLatWrGBkCQN+LYQJN4COTEZzHR0e//lE2aEonUQqEcXL/0NRtbyAdy3PSts6VtzZOIjvh7Zg+1ZvbCpWYMOGDSQnJys7NEEQBEHIkki6BUEoloKDg+nUoQNdunTBIiqKw+YWjDQyQq2AVCT/Gs66esTFJRB0tXgn3lJp6pjflJS8LyZTWERdi8KkhDbmJvrKDuWbqKnK+K5HPR56D6FzPXNGjRpFbftaXLp0SdmhCYIgCEKmCu/dpSAIwldISEhg6dKlVK5UiWunT7OqdGk2mpXGXE1N2aF9s+Y6OqhJJJzccE7ZoShVavdyQOTcACS+SyT2SSxdGlZUdii5xrSkDt6Tnbm6ZgBqCe9o1qwZ/fr1JTw8XNmhCYIgCEI6IukWBKHYOH/+PDWqVWP2zJn00tLid3Nz2urqFZlqyFpSKQ46Ojz9q+hW/8wO6f96K8iTRB9zgKgbqV3LZ/ZpoOxQcl19u9JcXd2PLZPacfy3Q9hVsmXnzp2ier0gCIJQoIikuxCxtLREIpGI1ze8LC0tlf1tFJTgzZs3DOjfHwcHBzReveIXcwummZRCWypTdmi5zllXj/hPidy/EKTsUJRGIkt9iCKS7lSRf0VirK+FRakSyg4lT0ilEgY71eDBz+60rm5Kv379aO/sTEhIiLJDEwRBEARAJN2FyvPnz5HL5eL1Da/nz58r+9so5KPk5GQ2btyIbYUK/LZ3HwtLmbKjTFlsNTSUHVqeaaqtjYZEgt9P55UditKI7uX/L/F9IrGPY+nUsIKyQ8lzpQy02TOrM4cXdOfOjStUqVKZdevWibH9giAIgtKJpFsQhCLp9u3bNKxfn5EjR9JKKuOouTndS5RAWkS6kmdGQyqllY4uwTeK7wOmz8MFUpJEsvW5avks10bKDiXfdGpUkfubB9GvhQ1jx46laZPGBAQEKDssQRAEoRgT83QLglCkJCcns2LFCubMno2Vmho7ypljr6Wl7LDylbOeLkdfRXHL7x4121ZVdjj5TtHSLWaSIvJaJEb6WliZlVB2KPlKX1uDDeMdcXWwY+gqP2rWrMGcOXOZPn06Kiri1kcQhKIpJCSEiIiIfDmXkZGRmBM8B8SVRxCEIiM4OJgBffvyx59/4l6yJGMMC/cUYF+rsZY2WlIpp3++WEyTbtHSDZD4IZHYR7G4OFZTdihK06y6Obc3uuGx/TLz58/j99+OsGPnLipUKPrd7QVBKF5CQkKws6tEbGxcvpxPS0uTgIDAHCfeYWFheHp6cvToUV69eoWJiQk1a9ZkwoQJtGrVCktLS54/f86VK1do0OD/C4BOmDCBW7ducf78eQDmz5/PggULgNQCqqVLl8bR0ZElS5ZgbGyca+8zt4ikWxCEQk8ul7Njxw7GjByFTnISW8uZU6eYtW7/m5pUSlsdXY7dekFKSoqimndxoXi/ScqNQ9mKY9fyjGioqbDYvTmdGlag3/Jj1KxZg9Wr1zB48OAiM3OBIAhCREQEsbFx7JjeETtzwzw9V0DIW/ot/Y2IiIgcJd3BwcE0btyYEiVKsHz5cqpXr05iYiInT55k9OjRBAYGAqChocG0adO4cOFClserUqUKp0+fJjk5mZs3b+Lu7s6rV684fvz4N72/vFC87sSKIDc3NyQSCSNGjEi3btSoUUgkEtzc3L56e0h9IjV27FjKly+Puro65cqVo2PHjpw5cyZbMe7ZsweJREKXLl2y3C4oKAgHBwdKlSqFhoYG5cuXZ/bs2SQmJiq2uXnzJrVq1UJHR4dOnTrx/v17xbqkpCTs7e35+++/sxWXUDS8e/cOl169GDBgAC1UZPxatlyxTrg/a6enS0JiMjeO3lF2KPlOUb08uXhXL4+6FomhnibWZQyUHUqB0KByGW6uH4BL0woMGTKEHt278/btW2WHJQiCkKvszA2xr2iap6+vTeo/5xrXrl2jR48e2NjYUKVKFb777juuXr2q2G748OFcvXqVY8eOZXk8FRUVTE1NKVOmDB06dGDcuHH4+fkRF5c/rf05IZLuIqBcuXLs2bMnzQ9YfHw8u3fvzvDpU062Dw4Opnbt2pw9e5bly5dz9+5dTpw4gYODA6NHj/5ibM+fP2fy5Mk0bdr0i9uqqqoyYMAA/Pz8CAoKYtWqVWzevJl58+YpthkyZAgtW7bE39+fDx8+sHjxYsW6FStW0KRJE+rWrfvFcwlFw65du7CztcXv8GFWmpVmqakZurKiNw3Y12igpY2uVMpZnz+UHUq+U8zTnVJ8k+7ED4l8fBhLx/rWyg6lQNHVUmfLJGcOzO3K+TMnqVa1CqdOnVJ2WIIgCEXeu3fvOHHiBKNHj0ZbWzvd+hIlSij+b2lpyYgRI5gxY0aOZqDQ1NQkJSWFpKSC19VNJN1FgL29Pebm5hw8eFCx7ODBg5QrV45atWp90/bZfSKVkeTkZPr27cuCBQsoX778F99H+fLlGTRoEDVq1MDCwoJOnTrRt29fLl26pNgmICCAoUOHYmNjg6urKw8ePADg6dOneHt74+np+cXzCIVfUlISM2fOpF+/frx9946lxia009NTdlgFiqpEgpOuLq/uvix2UyZJpGKe7ij/KABm9ineXcsz062pLXd/GkTVMtq0bduWiRMnEh8fr+ywBEEQiqzHjx8jl8upVKlStrafPXs2z549Y+fOndnaPjAwkA0bNlCvXj10dXW/JdQ8IZLuImLQoEH4+Pgovvb29mbw4MHftH1OnkhlxMPDA2NjY9zd3bP5LtJ6/PgxJ06coHnz5oplNWrU4NSpUyQlJXHmzBmqV68OwIgRI1i+fHmB/CUTcldISAjNmzVj+bJlzHVuh6G2NjPevCapmCWW2eGkq0dCUgp/HfRXdij56nP18uLcvTzqrygM9TWpWKakskMpsEob6XJicU9+HNmKDevXUbdObTG1mCAIQh6Ry1OvydmtpWFsbMzkyZOZO3cuCQkJGW5z9+5ddHR00NTUpHLlypQrVy7bSXp+E4XUioj+/fszY8YMgoODkUgkXL58mT179igq/H3N9jl9IvVvly9fZsuWLdy6dSvH+zZq1Ah/f38+ffrEsGHD8PDwUKz7+eefGTVqFCtWrKBx48bMmDGDbdu2oaWlRd26dXF0dOTJkyf07t2bRYsWZXmee/fuERYWluP4ihNtbW0aNGhQYIoN/frrrwweNAg9VRUuTppII2trmlasQJtVaxj96hU/lSun7BALlLpaWujLZJzf9icNe9RRdjj5Riot3mO6k6KS+PjwI91aFb/K9TkllUqY0K0urWpZ4OL5G3Xr1mHTps306dNH2aEJgiAUKRUrVkQikRAQEPDFOk+ffffdd6xfv57169dnuN7W1pYjR44gk8koXbo06urquRhx7hJJdxFhZGRE+/bt2bp1K3K5nPbt22NkZPRN2+f0idRn0dHR9OvXj82bN2cZQ2b27t1LdHQ0t2/fZsqUKaxYsYKpU6cCqVUK/13J8O3bt8yfP5+LFy8yduxYGjduzMGDB6lbty7169enY8eOGZ4jOTmZ+vXrExsbm+P4ipsJEybwww8/KDXxjo+PZ/KkSXitX0/XWjXZ0q8fBtqpxdJaVarElLZt+N7vFIcjP9BZv4TS4ixoVCQS2unqcuDBPyQnJyMrJuPdFfN0F7whXfki6noUyGFWn4bKDqXQqGZlwt9r+zNijV/qsKaLF/lx1So0NDSUHZogCEKRULJkSRwdHfHy8mLcuHHpetF++PAhXS9aHR0d5syZw/z58zO8p1dTUys0U0CKpLsIGTx4MGPGjAHAy8vrm7f/midSAE+ePCE4ODjNL8fnMaUqKioEBQVhbZ15cZ9y/2utrFy5MsnJyQwbNoxJkyZlmDBMnDiRCRMmULZsWc6fP8+iRYvQ1tamffv2nD9/PtOkWyaT8fLlSyIjI7P9voqjw4cPM2HCBPT09BRzIea34OBgunbuTEBAAF69XRjZvFm6BwALO3XELyCA+f+E0khbB2MV8afts3a6euz58IE/912nqWt9ZYeTLz4n3cVtLPtnkdciKamngW25vJ0ypqjR1lRj29T2NKtWlrHrtnDq1ElOnT6LlZWVskMTBEEoEtavX0+jRo2oV68eHh4eVK9enaSkJE6dOsWGDRsyHOIzbNgwfvzxR3bv3k39+oX3PkbcmRYhTk5OijEPjo6O37z91zyRAqhUqRJ3795Ns2z27NlER0ezevVqRVKdHXK5nMTEREWr+7+dOXOGwMBAfH19gdTW68/Ti/17mrHMGBgYYGAgptLJyvjx4/n06RPTpk1DV1eXyZMn5+v5L126RLeuXdGTyfhr2hRqlC2b4XZqKirsHeJOzUWLGfAihONWXy7cV1zYa2pSUibjwo4rxSbp/lxIjWTlxqEMSVFJfAz6SJeWVZQdSqEkkUjo3LAic3wvERz8nNr2Ndm9Z1+2rqlCwWFpacnz58+VHUaBYGFhQXBwsLLDEPJRQEjeT4X4teewsrLC398fT09PJk2aRGhoKMbGxtSuXZsNGzZkuI+qqioLFy4s9MN+RNJdhMhkMsUToux0I83O9l/zREpDQ4OqVdOOJfycnP97+bp16/j1118V833v3LkTVVVVqlWrhrq6Ojdu3GDGjBm4uLig8p+Wy7i4OEaPHs2ePXsU0wM1btwYLy8vRo8ezYEDB/jhhx+++BkIXzZ16lSio6OZMmUKOjo6Gc7xnhe2bNnCyJEjaVzeil+GDsFQRyfL7W1KlcLLtTeDt21n8evXzCxVKl/iLOhkEgnOunrsDQwjKSkp3e9SUVScx3RH+f+va7mr6Fr+NZKTU3DxPMy7qDhO9dNgxdV42rVrh4eHBzNnzlRcb4SC7fnz5xk+rC+OCkpNFiHvGRkZoaWlSb+lv+XL+bS0NL9qGKmZmRnr1q1j3bp1Ga7P6CGRq6srrq6uaZbNnz+f+fPn5/j8ylL0776KGb0cTpv0pe2/5olUdkVERPDkyRPF1yoqKixbtoyHDx8il8uxsLBg9OjRTJw4Md2+Hh4edOjQgZo1ayqWrVmzhj59+tCsWTP69OlD9+7dvyk+4f95eHgQFRXFqFGj0NHRoV+/fnl2rqSkJKZMmcKqVasY0awpa1x6oZrNschuDRtw/N599ty6hZOuLvZaWnkWZ2HSTk+XHR/ec2nHVRzcmig7nDwn+Tymuxj2Lo/6KxIDPQ3sLHJ+IyTA3K2XuHA7hBVt1XGwUqW5pQoLL0iYO3cO1/66yo6du3J8nRUEQcgP5ubmBAQEEhERkS/nMzIywtzcPF/OVRRI5OJRYKEhkUjEk9tvJD7Dr5eSksLQoUPZunUr+/fvp2vXrrl+jg8fPtDbxYXTp0+zpldPRrVo/uWd/nuM2FiqeiwiOiaG81bl0RAtU6TI5Tg8fYJqeUPmnpyk7HDy3MuAUBY5/0hp99KUbFp8psxKik4icFwgfVpUZufMTsoOp9D5/epjOs75BUdrGSf6pR1OdexRIq6/JmBuZcNvR49haWmpnCCFbBHX+v8nPouiJz4+nmfPnmFlZSWKPRYA2f1+iLtRQRCyRSqVsmnTJrp3707v3r3x8/PL1eM/fPiQBvXq8dfly5wYO+arEm6AElpa7BkymOjkZEa8fJmrMRZWUomE9rp6vHn8hoT4jOe6LEqksuI5pjvqRmrX8pmianmOPQv9QJ/FRzDVlfJ7H810650rqnJlkAaxrx9Tv25t/vzzTyVEKQiCIBRWIukWBCHbZDIZ27dvp02bNnTp0oVLly7lynFPnz5N/Xr1ICaGa1On0Nou53PD/1uTChWY69yOv+Ni2fP+fa7EWNi109UlKUXO+a1FP1n4XL28uI3pjvo7ihK6GlSxNFZ2KIVKfEISXecfJDEpiSuDtVDJpHdMZWMZfw1Wx1YnBocWLdi5c2c+Ryp8rY4dO9K6desM1125cgWJRIK/vz8tWrRAIpFk+vr3lKX/FhwcnOH2J06cyFZ8nz59ombNmkgkEm7duqVY/u7dOzp27IiOjg729vbcvn07zX6jRo1i5cqV2fsQBEFQKpF0C4KQI2pqauzfv58GDRrQvn17rl+//tXHksvlrFu3DicnJ+qXLcPVKZOoWMokV+Kc7dyOelZWLH0bwauEot+6+yVVNTQwU1Xl8r6/lR1KnvtcvVyeUnyS7qSYJGIexOBY21LZoRQ6Y9ed4u6zcHw6qWFZIuvbIiMtKaf6quNaGfr168fcuXOL7dR0hYm7uztnz57NsKK5t7c3NWvWxN7enoMHDxIaGprm9fz5c6pWrUqdOnW+OF3R6dOn0+zbsmXLbMU3depUSpcunW65p6cn0dHR+Pv707x5c4YMGaJYd+XKFa5du8aECROydQ5BEJRLJN2CIOSYpqYmR44coUqVKjg6OnLv3r0cHyMxMZGRI0YwduxYxrVozu+jRlIiFwufqchk7HEfjKqKjAEvXxT7G2OJREJ7XV0inkWQEFu0H0J8rjBdnFq6P3ctn9WnkbJDKVR8T97h5+O3GVBDRu+qatnaR11Fgk9nDZa2UmfhwoX0dulFbGxsHkcqfIsOHTpgYmKimGL0s9jYWPbu3Yu7uzuQOlWqqalpmtfChQsJDw/n119//eL4WUNDwzT7qql9+Wfq+PHj+Pn5sWLFinTrAgIC6N27NzY2NgwbNowHDx4A/7t+jhzJxo0bszVbjSAIyieSbkEQvoqOjg7Hjh2jXLlytGnThsePH2d734iICNq0bo23tzdb+vfjh549UMmDGwdLI0N+7teP0MRE5r95nevHL2za6eqRLJdzekvuDAsoqCTFcEx31LUo9HXVqWaVOz1FioPbT14zfNVJbAyl+HTO2QM/iUTCtCbqHOylydEjh2jRrCmhoaF5FKnwrVRUVBgwYAC+vr5piort37+fhIQE+vbtm+F+69evZ9u2bRw8eJCyZct+8TydOnXCxMSExo0b88svv3xx+9evXzN06FC2b9+OVgYPnWvUqMHZs2dJSkri5MmTVK9eHYBly5bRokUL6tSp88VzCIJQMIikWxCEr2ZgYICfnx/6+vq0atWKFy9efHGfoKAg6tety/2bNzk7YRyDG+dty1zvunUY0KA+v0ZFceXjxzw9V0FXSV2dcqqqXDnw9UMCCgNFS3cx6V6eFJNETEAMbWtZKTuUQuNDTDyd5x1ETSbnyuCv72HT1U6VS24a/PP4Lg3r1+XRo0e5GKWQmwYPHkxwcDDnz59XLPP29qZbt24YGBik2/7ixYtMmDABLy8vGjXK+jqlo6PDDz/8wC+//MKxY8do1aoVLi4u7NixI9N95HI5bm5ujBgxItPkefr06aioqGBtbc2vv/7Kli1bePToEdu2bWPOnDmMGDGC8uXL06tXLyIjI7P3QQiCoBRinu5CxMLCAolEouwwCjULCwtlh1DkmJiYcPr0aZo2bUrr1q25ePEipUqVynBbf39/HNu2xURDnTPTpmJpZJgvMa7r7cLFR48ZFxbKeavyaBfTacQkEgkd9PTYFPKW2Oh4tHSL5lQjxa16efTNaEiBWaJqebbI5XIGLP+dV+FR+PXTpKTWt/09sDeTcWWQOm13hdO4YQNO+J3C3t4+l6LNuZ07d6ZJLIsDIyMjFixYkGV37kqVKtGoUSO8vb1xcHDgyZMnXLp0KcOZOEJCQujRowfDhg1LM446q/NPnDhR8XWdOnV4//49y5cvp1+/fhnus3btWqKiopgxY0amx9XX12fXrl1plrVs2ZLvv/+enTt38vTpU4KCghg6dCgeHh6iqJogFGAi6S5EgoODlR2CIGSobNmyisS7TZs2nD9/npIl086PfOHCBTp26ICdsTHHRo/EUEcn3+LT1dBg7xB3Gn3/PUNehLDbwjLfzl3QOOnqseHtW05vukCnSY7KDidPfG7pTkkuHuP4I/+KRE9HnRrWGT/sEtL6ft9f/HblMTObquFglTu3QeX0pVwaqEb73TG0aN6Uw0d+x8HBIVeOnV1yuZz58+fj4eFBjRo1itX8vUZGRiQnf/kpm7u7O2PGjMHLywsfHx8sLCxo1apVmm3i4uLo2rUrVapUYdWqVV8dU4MGDfj5558zXX/27FmuXr2Kurp6muV16tShb9++bN26Nd0+3t7elChRgs6dO9OtWze6dOmCqqoqPXv2ZO7cuV8dq1B0hISEEBERkS/nMjIywtzcPF/OVRSIpFsQhFxhbW3N6dOnadasGe3ateP06dPo6uoCcOTIEXr16kmT8uU5NHwYOkq4GaxnZcmiTp2YcegwPm/fMsgwf1rZC5qK6upYqanx16/+RTfp/t+UYRSDnDv5YzIxD2Lo0dhW2aEUChduhzB9y3kalJHi2TJ3/w4ZaUk501+dbvs+4eTYlt179tKtW7dcPUdmkpOTGTt2LBs2bGDJkiVMmzZN9IzLQK9evRg/fjy7du1i69atDB06NN3nNGTIEN69e8fJkydRUfn62+SbN29iZmaW6fo1a9awaNEixdf//PMPjo6O7N27N8Mq6eHh4SxcuJA//vgDSP2eJyYmAqmF1bLz0EEo2kJCQrCtZEt8XHy+nE9DU4OgwKAcJ95hYWF4enpy9OhRXr16hYmJCTVr1mTChAm0atUKS0tLxUwDmpqalC9fnrFjxzJ8+HAAfH19GTRokOJ42tra2NraMmvWrHz7m/s1RNItCEKuqVy5Mn5+fjg6OnLjxg1atGjB9u3bGTRoEJ2rV2fXYDfUVVWVFt/Utm04+eABq588oaWuLhbZqCxbFHXQ1cPrVQQxH2LRKZF7FeMLiuI0ZViUfxSkwIzeomv5l4S+jaGHx68YaEo555Y3P/c6ahJ+663OwMOf6NmzBxs3/sTQoUPz5FyfJSQkMGDAAPbv38/mzZuz1R26uNLR0cHFxYWZM2cSGRmJm5tbmvXff/89+/fv57fffiMpKYmwsLA06/X19dHU1Ex33K1bt6KqqkqtWrWQSqX89ttvrFmzhmXLlim2uXbtGgMGDODMmTOUKVMmXaKi87/eX9bW1hkWbRs/fjyTJk2iTJkyADRu3Jjt27fTtm1bNm3aROPGjb/qMxGKjoiICOLj4ik7rCzqpdW/vMM3+PTPJ15ueklERESOku7g4GAaN25MiRIlWL58OdWrVycxMZGTJ08yevRoAgMDAfDw8GDo0KHExMTg6+vLiBEjKFGiBC4uLgDo6ekRFBQEQHR0ND4+PvTq1Yv79+9ja1swH0KLpFsQhFxlb29PWFgYMpmMNWvWMH78eNwbN2JjH9c8qVCeE1KplB2DBlHFYyEDX77grKWVoityceKkp8vatxGc3HCO7jPaKzucXCeVFp8x3VF/R6Gno469jamyQynQEpOS6bHwEFGxn7gxRAMNlbz7vVdXkbCzqzqGGjBs2DAiIiKYPn16nrQ8x8TE0K1bNy5cuMD+/fsLdCtPQeHu7s6WLVto27ZtumRh/fr1JCYm4uTklOG+Pj4+6RL1zxYtWsTz58+RyWTY2Njg7e2dZjx3bGwsQUFBitbpnDh58iRPnjxJU5htzJgxXL9+nfr161OvXj3mzZuX4+MKRZN6aXU0LdM/HCoIRo0ahUQi4dq1a2hrayuWV6lShcGDByu+1tXVxdQ09bq2aNEi9u3bx6FDhxRJt0QiUaw3NTVl0aJFrFixgjt37oikWxCE4kMmk7F48WJmzZrF5DatWd6ta4Hp6ljGoAS+A/vTdeMmpoWF8n3pMsoOKd9ZqalTUV2d67/dKpJJt0RWPKqXJ39MJvpeNN0a2Sg7lAJvpvcFrtx/yTpndaqWyvtbH5lUwjpndUy0JcycOZOIiAhWrFiRq38H3759i7OzMwEBAZw4cSLfx5AXVg0bNkwzbdi/PXv27KuOOXDgQAYOHJjlNi1atMj0vACWlpaZrnd0dMTRMe1wIC0tLfbt25fzYAVBSd69e8eJEyfw9PRMk3B/VqJEiUz31dDQyPSBVXJyMtu2bQNQahHLLxFJtyAIuUoulzNv3jwWLlzIgo4dmOPcrsAk3J91qVmT4U2bsPmPy7SLjqbl/8aeFyftdfVYExpOVEQMekb5V9QuPyjGdBfxlu6oW6ldy6eLruVZOngpiBX7r9HZVsaounnb5fLfJBIJ81qoY6glYewPP5Dw6RNr1q7Nlb+HL168wNHRkYiICM6dO0ft2rVzIWJBEIS88/jxY+RyOZUqVcr2PklJSezYsYO7d+8ycuRIxfLIyEjFkIy4uDhUVVXZtGkT1tbWuR53bil+/SoFQcgzcrmc6dOns3DhQpZ27cLc9s4FLuH+7IeePahgbMzU12FEJSUpO5x8105XlxTgxPozyg4l10mLyZjuqGtR6GqrUdc282JNxd3Dl+/ov/x3yupJOdhLOd0tx9RT46cOGqzz8mLc2LFZtnZmR2BgII0bNyY2NpY//vhDJNyCIBQKn//2Zee+cNq0aejo6KCpqcno0aOZMmWKopAapHY/v3XrFrdu3eLmzZssXryY4cOH89tvv+VZ/N9KJN2CIOQKuVzOhAkTWL58Oat69mCaY1tlh5QlLTU19g0bQoJcjtvLF8oOJ9+VU1PDTkMD/6N3lB1KrpMWg+7lybGpXctb1bBQdigFVmx8Il3nH0SenMwVdy2l1m8YVjt3Eu+///6bJk2aoKenx+XLl7GxEUMLBEEoHCpWrIhEIiEgIOCL206ZMoVbt27x/PlzYmJiWL58eZq/4VKplAoVKlChQgWqV6/Od999h4ODQ5rihQWNSLoFQfhmKSkpjBwxgjVr1rChT2/Gt2qp7JCypUbZsqzo3o3AT5/wighXdjj5rr2uLlFvovnwOlLZoeSq4lC9PPpWNCTDDNcGyg6lQJLL5YxYfZKgF2/Z2VWdsnrKv9351sT79OnTtGzZkooVK3Lx4kVFFWtBEITCoGTJkjg6OuLl5cXHjx/Trf/w4YPi/0ZGRlSoUIHSpUtnu8ekTCYjLi4ut8LNdcq/CgmCUKjJ5XKGDR3Kps2b8R7QnxHNmik7pBwZ19IBx8qV2fT+PQ/j82duy4LCSVePFODYuqLVxVwikYCEIj1Pd+S1SHS01ahXSSReGdl87DbbT99jaC0Vutopb5rC//raxPuXX36hffv2NGnShNOnT1OyZMk8jlQQBCH3rV+/nuTkZOrVq8eBAwd49OgRAQEBrFmzhoYNs1+fRC6XExYWRlhYGM+ePWPTpk2cPHmSzp0752H030YUUhME4avJ5XKmTJnCFm9vtrkNpH+D+soOKcckEglb3QZQZcFC3F+95JxVeVSKyTRipVVVqaapya0T9+izsGhNNSSVSopsS3dyXDIxd6PpWK+CskMpkK4HhTJ6rR9VjKVs6FDwps0ZVlsNgOFeXgBfLK72008/MXLkSHr37o2vry9qamr5EqcgCIXTp38+FdhzWFlZ4e/vj6enJ5MmTSI0NBRjY2Nq167Nhg0bsn2cqKgozMxS65moq6tjYWGBh4cH06ZN+6q48oNIugVB+GrLly9n5cqVrO7Vs1Am3J+V0tNjx2A32q31YuI//7C2bFllh5RvOujqsvTNG96+fIdh2aLTeiaRSotsS3f0zWjkyTC9t+ha/l/vouLoOv8gmirw52AtZYeTqewk3nK5nMWLFzN79mzGjh3LqlWrlDouvTCxsLAosEU885uFhaj7UFwYGRmhoanBy00v8+V8GpoaGBkZ5Xg/MzMz1q1bx7p16zJcHxwcnOX+bm5uuLm55fi8yiaSbkEQvsrPP//M9OnTmdvemXEtC//8sE5VqjCxVUtWnz3HsahInPX0lR1SvnD8X9J9dO0ZBizrqexwco1EKkGeXDRbuiP/jkRbS42GlYvPw6HsSEmR02fJb4S9j+H8AE30NAp2gvrvxFtHV5clS5Yo1qWkpPDdd9+xevVqPDw8mD17tkgic+BLN+2CUBSZm5sTFBhEREREvpzPyMgIc3PzfDlXUSCSbkEQcuzgwYMMHz6cUc2bMb9De2WHk2uWdOnMqYBAZr9+TQMtbUqqFP0/kSYqqtTS1OLuqQdQcIt+5phEIoEimHMnxyUTcyeG9nXLKzuUAmfx7j85ef0pCx3UaWxeOH53h9VW42OCnO+WLsXAwICpU6cC8N1337FmzRrWr1+fZm5aQRCErJibm4tEuIAq2I+BBUEocM6ePYurqyu9atuz1qVXkWp9UVdVZd9Qd+QSCQNehCg7nHzTXleXmPcfef2s6FRwl0olRbJ7efTtaOTJcqa5iK7l/3bqxjPm+l6imYWU2c3UlR1OjkxsqM7spmpMmzaNzZs3A6ndLw8ePCgSbkEQhCJCJN2CIGTb9evX6dypEw4VK7B14IAiOb7QzsyMNS69eJqQwIo3b5QdTr5oo6sLwLG1RaeKuUQqLZKF1KKuRaGtpUqTquWUHUqB8eJNFC6LDmOkLeVUv4I7jjsrHg7qjK6rxvDhw9m/fz/Tpk2jS5cuyg5LEARByCVF745ZEIQ8ERgYSDsnJ6qaluLAsKGoFeGu10ObNKZzjRpsi/zA3QI852NuMVJRoa6WFvfPBig7lFwjlRW96uXJ8clE34mmeVXRdfCzhMRkunv8Smx8ApfcNFFTKZy3NRKJhDXt1HGtqkq/vn04e/asskMSBEEQclHhvDoJgpCvXrx4Qds2bSilocHRUSPRVi9c3TdzSiKRsKV/X4x0dBj2zysSUopgP+X/aK+rR0xkHK8CQ5UdSq4oit3Lo29FI0+SM82l8M4UkNsm/XSW6w9DWe+shq2RTNnhfBOpRIJPZ3VaWEjp0rkjN2/eVHZIgiAIQi4RSbcgCFmKiIigbevWSOPjOTlmNCW1tZUdUr4w1NFhl/sgopKSGPXqlbLDyXNtdHWRAse8ikYXc4ms6HUvj/o7Ci1NVZpVFy3dAHvOPWDd4Rv0tFNhcK2iMXe1mkzCLz3UsdVPop1jG54+farskARBEIRcIJJuQRAyFR0djXO7drwNC+PU2DGUMSih7JDylYOtLdOdHLkS+5EDHz4oO5w8VUImo4G2NoEXHio7lFxR1KqXp3xKIfp2NM3FWG4AHjyPYPCKY1iWkLK7u4ayw8lVuuoSjrqqoSePxrFNK96+favskARBEIRvJJJuQRAy9OnTJ7p17UrQgwecHDOaiqVMlB2SUizo2AF7C3MWRYTzJilR2eHkKWddXT5GxxNy76WyQ/lmUpm0SHUvj76d2rV8qqhaTnTsJ7rMO4CEFP5y1yqSBR1NtKUcd1Xj/euX9OjelYSEBGWHJAiCIHyDolsJSRCEryaXyxni7s6lixc5OXY0tcyLb+uaqkzG3iHuVPNYRP+QEE6Wt1Z2SHmmlY4u8wjj2LqzjNg4QNnhfBOptGgVUou8FommpiotahTvruVyuZwhPxznaegHjvTWwESn6CXcn1mXlPJrTzVabb/MqJEj2fzzz0VqikZBEHJfSEgIERER+XIuIyMjMSd4DoikWxCEdFasWMGOnTvZ5T6I5jY2yg5H6ayNjfmpbx8G+G5l4esw5pQyVXZIeUJfJqOxtjbX/3ik7FC+WVFq6f7ctbxtDUtlh6J06w7fYN+FQCY2UMO5oqqyw8lzTS1U2NxBDTdvb+wqV2bSpEnKDkkQhAIqJCSESnaViIvNn1lXNLU0CQwIzFHi7ebmxtatWxk+fDgbN25Ms27UqFFs2LCBgQMH4uvrC6QW8p0/fz7Hjx8nIiICMzMzunTpwty5czE0NMzNt5PnRNItCEIax44dY9q0acx0csS1bl1lh1Ng9Ktfj+P377Pvhj9OOrrULaIF5Zx19bgYFspT/+eUt7dQdjhfTSqTIpcXjZbu6DvRyBPlTOlVvKuWX3nwiokbzlDTVMoPjkVrHHdWBtZUI+htClOmTKFixYp06tRJ2SEJglAARUREEBcbx6Afe2NWIW+HBIY+foPPxD1ERETkuLW7XLly7Nmzhx9//BFNTU0A4uPj2b17d5pjPX36lIYNG2JjY8Pu3buxsrLi/v37TJkyhePHj3P16lVKliyZq+8rL4mkWxAEhYCAAFx796ZT9eos7NRR2eEUKBKJhA19XPnj8RPGhP7DhfLWaBTBsaQtdXRQAY57nWX0lkHKDuerSaUSKCJD8COvRaKpoUKrWpbKDkVpwj/E0m3BQXTUJPwxSEvZ4eS7RS3VCXoLfVx788flP6lZs6ayQxIEoYAyq2CCedWyyg4jU/b29jx9+pSDBw/St29fAA4ePEi5cuUoX768YrvRo0ejpqaGn5+fIjk3NzenVq1aWFtbM2vWLDZs2KCU9/A1it4doyAIX+Xdu3d06tgRc309tg8aWCSLE30rfU1N9g5152NKCkNfvlB2OHlCRyajuY4Oj688UXYo30QiLRot3SmfUoi+FU2TygX3BiqvJSen0NvzMG8j4zjdXwNtteL3t0kqkbCtizq2Bsl06uBMaGioskMSBEH4aoMGDcLHx0fxtbe3N4MHD1Z8/e7dO06ePMmoUaMUCfdnpqam9O3bl7179xaq63zxu3IJgpBOUlISLr168f7NG46MGI6uRvHpuplTDcuXZ36H9vjHxbHj3Ttlh5MnnHX1iItLIKgQJ95SWdGYMkzRtbxn8e1aPn/7H5y79ZzFLVWpU7r4dtDTVpNwpJcayTERdO7Ygbi4/Bm3KQiCkNv69+/PH3/8QXBwMM+fP+fy5cv069dPsf7Ro0fI5XLs7Owy3N/Ozo73798THh6eXyF/M5F0C4LAgAEDOHfuAv3q1sHKyEjZ4RR4M9s50dC6PCveveVFEZzKp7mODmoSCSc3nlN2KF9NKpMWierlUdej0NBQoU0dK2WHohRH/3rMop1/0rq8jMmN1JUdjtKV0ZPym4sa9+7eZvSoUcoORxAE4asYGRnRvn17tm7dio+PD+3bt8coB/efn1u4C9OMDiLpzieWlpZIJBLxUvLL0tJS2T8KBc7u3bvZvXs3+tqGrDl7ngE+vsoOqcCTSaXsdh+MmooKA1++ICWliJTJ/h8tqRQHHR2e/vVM2aF8NalMWuhbulMSUojyj6KxXRllh6IUwWEf6LP4CKV0pBzrq/nlHYoJezMZG51V8fH1ZcuWLcoORxAE4asMHjwYX19ftm7dmqZrOUCFChWQSCQ8ePAgw30DAwMxMDDIUaKubCLpzifPnz9HLpeLl5Jfz58/V/aPQoFy9+5d3N2HULdia+a6bKVx5Q5s/+saVeZ7EBMfr+zwCjTzkiXZ0r8fYYmJzH4dpuxwcp2zrh7xnxK5fyFI2aF8laIwZVjM3RjkiXImF8Ou5fEJSXSd/yufEpO4MlgLFVFjIo0BNdQYZq/G6FEj8ff3V3Y4giAIOebk5ERCQgIJCQk4OjqmWWdoaEibNm1Yv359uqE0YWFh7Ny5ExcXl0LV0l18B0cJQjH34cMHOnfugqGOGa5NJ6IiU6V30wmYG1Vkz6XVlJkxm0uTJlC9bPEt4PQlverU5sSDB2y7cpV2utE01dFVdki5pqm2NhoSCX4/nadKc1tlh5NjRWHKsMhrkahrqOBUt/yXNy5ixnmd4s7TN2zrqo6VgUi4M7K6nTo3Xn+iR7cu3Lh5GwMDA2WHJAhCARD6+E2hOIdMJiMgIEDx//9at24djRo1wtHRkUWLFqWZMqxMmTJ4enp+cwz5SSTdglAMpaSk0K9vP96EhjO5y3rUVP+/cFoju/aYGliyyW8utZcsZ1MfVwY1bqjEaAu2Nb16cvHRI74LC+N8eW20i0iLnIZUSisdXU7fKJy9QyTSwl1ILSUhhaibUThUztn8p0XBtlN32XzsNgOqq9C3mpqywymwNFQk/NJDDfvNoQzo34/DR34Ts04IQjFmZGSEppYmPhP35Mv5NLU0v7l7t56eXqbrKlasyPXr15k/fz4uLi68ffsWU1NTunTpwrx58wrVHN0AEnlhbwooJCQSSaFvdSkKxPch1cKFC5k3bx4jnDypYp5x19UPHyP42W8ez98E4daoAd4D+udzlIXHjechNFi2HDtVNfYWoboB52KiGf3qFSN+GkDNtlWVHU6O/OC6kWePXmC7svC10gNE+UcRsiaEo4t64lzfWtnh5Js7T99Qb8xWzHXlBI7WEklkNhx7lEj7XXF4enoyc+ZMZYcjCEIei4+P59mzZ1hZWaHxn9lmQkJCiIiIyJc4jIyMMDcvfg+G/yur78e/iaQ7n4hkr2AQ3wc4f/48LVu2pJ39AJzrDMhy28TkBPb/sZY/A49RrXRprk6fipaaaHnKyAq/U0w5+CsTjYwZamio7HByRUJKCo2ePKZ0bXMm71NepeT4j5+IjoghKiKaqIgYov/3b1REDFHh0cS+jyMpIYnkxGSSEpNJ+pTM23/ekpScjKaBJkhIbfWWpL5kGjIk2hLQApm2DBUdFWTaMmQ6MsW//14mVcK80C82viD+5kfif5+c7+dWlsiP8dQc4UP4u2iej9fCUEsk3Nk191w8nn8k4ud3ilatWik7HEEQ8lB2kzwhf2T3+yG6lxcAYWFheHp6cvToUV69eoWJiQk1a9ZkwoQJiounpaUlz58/Z/fu3fTu3TvN/lWqVOHBgwf4+Pjg5uamWH7z5k0WL17MxYsXiYyMxNzcnObNmzNlyhRsbGwAOHDgAMuXLycwMJCUlBTMzc1xcnJi5cqV6eJs27YtZ86c4fLlyzRo0CDb7+/x48fUqlULmUzGhw8fstz2/fv3jBs3jiNHjgDQqVMn1q5dS4kSJQB49+4dAwcO5Ny5c9jY2ODj40ONGjUU+48aNQpra2smTZqU7fiKkw8fPtCvX38qlK6Ok33fL26vKlOjT/NJmBvbsPePNZSZPos/Jn9HldJm+RBt4fJd61Ycv/+AdY8e0VJHB2v1wj+9kZpUSlsdXY7dSq3QnletjkkJSYSHvCXsSTivn7wh9PEbIp6/IzoihsjwaD7FfUqzvUwmw8jEiFImpTA1LY1xRWM0NTVRU1NDXV0dNTU1YmJiUFVVRV9fP00xxZSUFGJiYnj79i1v374l/G04Ea8i+PD+A1EfojJ8KKdpqImKsQoqJiqolVJDzUQNdVN11MzUkKrk/mfyuWp5c7tyuX7sgkoulzNw+TFevIniZF9NkXDn0Lzm6lx9Ba4uvbh5+w5lyhTPiveCIAgFlUi6lSw4OJjGjRtTokQJli9fTvXq1UlMTOTkyZOMHj2awMBAxbblypXDx8cnTdJ99epVwsLC0NbWTnPc33//ne7du+Po6MjOnTuxtrbmzZs37N+/nzlz5rB3715Onz5N7969Wbx4MZ06dVKU5j9z5ky6OENCQrhy5Qpjxoxhy5Yt2U66ExMTcXV1pWnTpvz5559f3L5Pnz68fPmSEydOADBs2DD69+/Pb7/9BoCnpyfR0dH4+/uzYcMGhgwZwt9//w3AlStXuHbtGmvXrs1WbMXRyJEjef/2A8O7LUcqTV+0IjNNKnfE7H/jvGt5LsG7fz/6NaiXh5EWPlKplB2D3aiyYCGDXr7gvFX5ItE11klXl0NRkdw4eoe6HWt+07HkcjlR4dG8ePAPLwNCeRnwD/8EvCbs2RtSklNLjevp61GpUiUaV22GmZkZpUqVSvcyNDTMk882JSWFyMhI3r59y7t373j37h1hYWE8efKEx48fE/gwkMe3HvM66jWQOm5cq7QWMlMZGmU1UC+jjmZ5TdQMv603SMz9GOQJciZ2r5sbb6tQWPnLNQ7/+ZAZTdRoVV7cmuSUTCphVzc1am6KZmD/fvidPlMk/v4IgiAUFaJ7eT7JrFuzs7Mzd+7cISgoKF3i/OHDB0ULr6WlJa6urvz44488evSIcuVSW0CGDRuGhoYG27ZtY9WqVbi5uREbG4uFhQVNmjTh119/TXfOz8edMGECt2/f5ty5c1+Mf8GCBQQGBjJv3jzq1atHaGhoungzMm3aNP755x9atWrFhAkTsmzpDggIoHLlyly9epX69VPHGV+9epWGDRsSGBiIra0tzs7OdOrUiREjRhAQEECdOnX4+PEjiYmJ1K1bl59//pk6depkeo7i3L18165d9O3bF7dWs6hToeVXHeN9TDib/ebyIuIRQ5s04qe+X24tL25+u3OHTus34qSjyw9FoLUpUS6n8eNHGNcoy7SDY3K0r1wuJ/TRa4KuPOHh1Sc8vR5CZEQUADq6OlSvUZ1aNWpRpUoV7OzssLOzw8TEpEBPASKXy3n79i2BgYHcv3+fe/fucefeHe7evcv7t+8B0DTWRK2CGtq22mjbaqNmqpaj9/Ry00vibsQUm67lF++E4DB5N3XMJPw1VEfZ4RRqZ54m0Xp7LCtWrBA9vgShiBLdywsW0b28EHj37h0nTpzA09MzwwT2c8L9WalSpXB0dGTr1q3Mnj2b2NhY9u7dy4ULF9i2bZtiu5MnTxIREcHUqVMzPO/n45qamrJr1y7u3btH1aqZF0mSy+X4+Pjg5eVFpUqVsLGxYd++fQwaNCjL93f27Fn279/PrVu3OHjwYJbbQmpLtb6+viLhBmjQoAH6+vr8+eef2NraUqNGDc6ePcuQIUM4efIk1atXB2DZsmW0aNEiy4S7OHv+/DkjR4ykTsVWX51wAxjoGDOx02r2XlrFpksnuRb8nD+nTEZTjPNW6Fi9OqOaN2PjxUucjo6mtW7hnkZMVSLBSVeXI3dffrGLuVwu5/XT8NQk+8oTHv31jKi30aiqqlK/QT3GjhiHvb09NWvWxNLSskAn15mRSCQYGRnRpEkTmjRpkmbd69evuXLlChcvXuTchXPc2XaHlJQU1PXV0bDRQMtGCy1bLTTKaqRWV89ASmIKUTeiaGJb+B/YZEfo2xh6eBxCX0PChUFayg6n0GtVXoVJDdWYOWM6rVu3TjP8ShAEQVAekXQr0ePHj5HL5VSqVCnb+wwePJhJkyYxa9YsfvnlF6ytralZs2aabR49egTwxeOOHTuWS5cuUa1aNSwsLGjQoAFt27alb9++qP9rPOrp06eJjY1VTFzfr18/tmzZkmXS/fbtW9zc3NixY0eW0wH8W1hYGCYmJumWm5iYEBYWBsD06dMZOXIk1tbWWFpasmXLFh49esS2bdu4cuUKI0aMwM/Pjzp16rB582b09fUzPV9sbCxxcXHZii23aWtr59vTyeTkZAb0H4CqRJNejcd98/FUVdTo22IK5Yxt+OVPL8pMn8WVaZOxLVUqF6ItGlZ078bZoCCmvQ7jjKYmJVQK959aJ109fomM5K+D/jTskfbBVnjIWwIvP+bh1Sc8/iuY968/oKKiQp06tRkzfCwODg40atQILa2in1CVKlWKLl260KVLFwCioqLSJOHX918nMSERNW01NCpooFVZCz17PdSM//+hVcz9GFI+pTCxW9F/gJiUnEKvRYeI/BjP30M00MiD8fHFkWdLdU4Ff6JPbxeu+99EU1NT2SEJgiAUe4X7TrCQ+9zNOSetPe3bt2f48OFcvHgRb29vBg8enOlxv0RbW5ujR4/y5MkTzp07x9WrV5k0aRKrV6/mypUripvkLVu24OLigsr/EgdXV1emTJlCUFAQtrYZT8czdOhQ+vTpQ7NmzbL93iDjz0IulyuW6+vrs2vXrjTrW7Zsyffff8/OnTt5+vQpQUFBDB06FA8PjwwLwkFqImpmZkZUVFSO4sstenp6LFq0iFGjRiGTZX9s9ddYsWIFl/64xLgOK9FSz52umxKJhOZVu1C6pBWb/eZRzWMx29z607tu0U8UskNTTY19Q4dQe/FS3F684JCVlbJD+ib1tLTQl8o4t+1PGnSvTeij19w8cZdbJx7wIuAVUqmUWva1GDpwGA4ODjRp0gQdHdFNWE9PD0dHR8UDy/j4eK5du5aahJ8/xx8H/yBsdxjaFtpo19JGr7YeUdeiUFOX0alhRSVHn/dmel/g8v2XrHFSp3opcTuSW9RVJOzqokrtnx8xbdo01qxZo+yQBEEQij1xlVOiihUrIpFICAgIULSMfImKigr9+/dn3rx5/PXXXxmO2f5cmTwwMJCGDRt+8ZjW1tZYW1szZMgQZs2ahY2NDXv37mXQoEG8e/eOQ4cOkZiYyIYNGxT7JCcn4+3tzbJlyzI85tmzZzly5AgrVqwAUFQNVlFRYdOmTRk+LDA1NeX169fploeHh1Mqk1ZUb29vSpQoQefOnenWrRtdunRBVVWVnj17Mnfu3Ezfs0wmw8/Pj9DQ0Cw/m7xy4sQJxo8fj6+vLxs3bqRu3bwpmOTv78+c2XNoXcOFiqVzv5thxdI1mN79Jzb5zaWPty+XnzxhbW+XXD9PYVStTBl+7NmDMXv2sjY8nLHGxsoO6aupSCQ009Hm+P1XLGi9krCnb9DR1aFjh450X9id1q1bZ9mrREiloaFBs2bNaNasGbNnzyYmJoYTJ05w8NeD/Pbbb7w59AaAska63H0WTvXyBXt8+7c4dPkh3+/7iw4VZYypV/gr/Rc0VUxkLG+lyvi1a3F2dsbJyUnZIQmCIBRrIulWopIlS+Lo6IiXlxfjxo3LspDavw0ePJgVK1bg4uKCgYFBuvVt27bFyMiI5cuXZ1lILSOWlpZoaWnx8eNHAHbu3EnZsmU5dOhQmu3OnDnDkiVL8PT0VLSA/9uVK1dITk5WfH348GGWLVvGn3/+melUJg0bNiQyMpJr165Rr15qZey//vqLyMhIGjVqlG778PBwFi5cyB9//AGkPghITEwEUqum//v8Gfn32PH81qVLF9zc3Bg5ciT169dn5MiReHp6Zvp9+RqxsbG4uvbB1MCS9nXccu24/1VStxTfdV7D7gsrWXf+DFefBXNp0kQ0xDhvRjVvxrF799n84AFtdHWpVMgKnvyTmMixqCh+j/3Iw9hYdDQ0aNvEiZ6re9K6dWtRwOUb6ejo0KNHD3r06EFCQgLnz5/nxx9/5OqVP6k5wodK5sa4trDF1aEyFcuWVHa4uebxq/f0W/obZXSlHO4tuj7nlbH11Dj2WI7bgP7cvf8A40L84E8QBKGwE9XL80lmVbOfPXtGo0aNKFmyJB4eHlSvXp2kpCROnTrFhg0bCAgIAFKT4QkTJjBhwgQgdcy0lpaWYqxWiRIlFNXLITXJ7dmzJ05OTowbN44KFSoQERHBvn37CAkJYc+ePcyfP5/Y2FicnZ2xsLDgw4cPrFmzhr1793Lz5k1sbW2pWbMmTk5OLF26NE3c0dHRGBsbs3fvXjp37vzF9+/r65uuevm1a9cYMGAAZ86cUSTi7dq1459//uGnn34CUquzW1hYKKYM+7c+ffrQqFEjxoxJrai8fPly9u3bx/bt25k0aRJWVlZ4eXll6/ugLElJSXh5eTFnzhw0NTVZuXIlffv2zZXWrTFjxrB5089M7boBUwOLXIg2a3K5nPN3D3Lw6gZKamnz1/QpWIubPMKjo6myYCFJ8fFcsCqPSgGfxidBLudUdDR7o6O4HhODpro6nTp3pm+/fjg6OqImHqbkucTERE6dOsXu3bs4dOgQMTEfqWdXhtEda+LS3A51tcL7vDw2PpF6Y7by5J93PBytRTn9gv37UNiFRqdQ7ad4Grd04tDhI0W254QgFCdZVcsOCQkhIiIiX+IwMjLC3Nw8X85VkInq5YWElZUV/v7+eHp6MmnSJEJDQzE2NqZ27dppunP/l6GhYZbH7dy5M3/++SdLliyhT58+REVFUa5cOVq2bMmiRYsAaN68OV5eXgwYMIDXr19jYGBArVq18PPzw9bWlhs3bnD79m02b96c7vi6urq0bduWLVu2ZCvpzkhsbCxBQUGK1mlIbVkfN24cbdu2BaBTp06sW7cu3b4nT57kyZMn7NixQ7FszJgxXL9+nfr161OvXj3mzZv3VXHlJxUVFcaPH0+PHj347rvv6N+/P97e3qxfvz5HBfb+6/jx43h5edGz8dh8Sbgh9YGGQ/XulDYsz89+86k8fxE7Bw+kR237fDl/QWWsq8vOwYNou2YtY/95xYay5ZQdUobCk5LY++E9+2NiCP/0iZbNm7PN3Z0uXbqgW8grsBc2qqqqODs74+zsTGxsLEePHmXLzz8zcPlRpmy+wDDn6ozoUIsyRoXr+yKXyxm55iQBL96yr7uGSLjzgZmulJ87qNJ17+9s376dAQMGKDskQRDySEhICHa2tsTGx+fL+bQ0NAgICspW4v2lB34DBw7E19c3lyIrmERLdz4paC2sxVVB/z74+fkxatQoQkJCmDJlCrNmzcpx1efw8HCqVqmKkaYlI50WK6Vl4210GBtPzCbs/XMmtGzBDz175HsMBc2UAwdZefoMS0qZ0qmAjH+Wy+Xcio9j54cP+MXEoK6uzsBBgxg9ejSVK1dWdnjCfwQFBbFu3Tp8fX2Ij4+nexMbxnWpTcPKZQpFC+bmY7cY9uMJhtursrGj6Faen/oejOf4Cw0eBARhamqq7HAEQfgGmbWs+vv7U7t2bZaZmWGtlre1Mp4kfGJaaCg3btzA3v7LjSufZyEC2Lt3L3PnziUoKEixTFNTs9DWhsluS7dIuvNJQU/2iovC8H2Ij49n6dKlLFmyhNKlS7Nu3Trat2+f7f179uzJyWOnmdF9M3payhsHmpAYz44L3+P/5DwNrKy4MGkiaoV86qxvkZCURL2lywkKDeWkpRXGSvws4lNSOBYdxe7oaO5//EiF8uUZM24cbm5uhfaiV5xERUXh6+vLurVrePT4CfY2ZozrbI9LCzs0CmjX8xsPw2g4fhsVSsCD0aKyfX6LiE2h8oZ4mrXtyC8HDio7HEEQvsGXku5fLCypnMc1Vx7Ex9PjeXC2k+5/y2jIaWGW3aRb9O0ShAJGQ0OD+fPnc+/ePSpWrEiHDh3o3r07L168+OK+R48e5ZdffqF7w9FKTbgB1FQ1GNRqNl0aDOevZ8GUnT6LZ+H5M86oIFJTUWHvEHeQSBj4IkQpMXxITmZNRDitngczOywM86ZNOX78OEGPHjF+/HiRcBcSenp6jBs3jsCghxw7doxS5Wvg9v1RyvXdwCzvC7yKiFZ2iGm8i4qj6/wDaMjgT/eiP197QWSkJWWtoyoHDv7K/v37lR2OIAhCsSOSbkEooCpWrMjJkyfZs2cPV65cwc7OjpUrV6YZA/9vMTExjBgxksrl6lDb2iGfo82YRCKhdY1ejHJeSvSnZCotWMjhW7eVHZbS2JqWYp2rC8EJCSx9k356vLzyITmZVeHhtAl+xraPHxkwciSPHj3i2PHjODk5IS3gxd2EjEmlUtq1a8ex48cJCgqizwB31v5+l/IDfmK81ynC3sUoO0RSUuT0W/Yboe9iONZHgxIa4mdNWQw0JajLYPAgN96/f6/scARBEIoVcfUThAJMIpHg4uJCQEAA7u7uTJ06ldq1a3P58uV0286fP583r8Pp1WR8gRvfaVeuDtO6/0RJ3dJ0+2kzU4tx98bBjRrRvVYtdkVGcjMuNk/P9e9ke0fsR0Z/9x3BISGsWrWKChUq5Om5hfxlY2PD6tWrefnyFXPnzWfbuUeUH7CJqZvPERGZtz9nWVm65wrHrz1lThNVmpgXzK7vRd3b2BQG/BqH445Y1LT0SJZLmDp1qrLDEgRBKFZE0i0IhYC+vj6rV6/m77//RlNTkyZNmjBkyBCioqIAuHnzJqtWraKdfT+M9EorOdqMGeuXZkpXL6pbNub7U6dpumIlSUlJyg4r30kkEjb364uJri4j//mHhJSUXD9HbEoKP72NwPF5MDvjYhkzaRLBISEsW7ZMzNVbxOnp6TFr1iyeBT9n8tRpbDh2D6sBPzHH9yJRHz/layxn/IOZ7XuRpuZS5rYQc7rnN7lczt57idis+8jue4k4tHfB50Qg/UbN5ueff+bixYvKDlEQBKHYEEm3IBQi9vb2/Pnnn2zYsIGDBw9y9OhRkpOTGTJkKGYGFrSs1lPZIWZJXVUT9zbz6FRvCH88fkLZmbMJefdO2WHlOwNtLfYMcSc6OZkRr17m2nET5HJ2vX+PU8hz1n/4wKCRI3kaHMzSpUtFsl3MlChRAg8PD549C2bUmPGsPOiPtdsm1h26QWJScp6f/2V4FL0WHcJQU8rp/mIcd357GZVCx91x9D4Qh0THhKU+pxk7ezVSqRTHrgOpVK0OQ4cO49On/H0QIwiCUFyJpDufWFhYIJFIxEvJLwuL/JmzOi/JZDJGjBjBu3fv6N27N+vXr+fmTX9cmkxEJiv43TclEglta7kyst1iPsQlYjPPg2N37yk7rHzXtGIFZrdz4q/YWPblQgXPizExdAoJwTP8De1dXHj46BGrV6/GxMTk24MVCi0jIyOWLVvGw4eP6NS1F+PWn6bKUG8OXArMs5kcEhKT6e7xKzFxCVx000RNRdxq5JcUuZyN1xOwXReD39MUuvQbzeYjtylvU1WxjVQqZfi073ny9AlLly5VYrSCIOSFJwmfeBAfn6evJwnigV1OiSnDBKEQCwsLw6aiLdXNm+HadKKyw8mxN5Ev+enEbMIjXzHdsS2eXTopO6R8lZScTOPvV3L7xQuOmVtgpqaW42OEJSayNCIcv6goWjk4sGrNGqpWrfrlHYVi6e7du0ydMoUTJ0/SqEo5vMa0pmaFUrl6jgnrT7Pm0HU2dVBniH3ezhUr/L+giGQGH4nnzxfJlLGowJwfd2NiVi7T7Xf9tJQju9YrZsoQBKFwyGyKqpCQEOxsbYmNj8+XOLQ0NAgICsLc3DxH+xXXKcNE0i0IhdjAAQP59cBhZvX0QUejcE73FJ8Qy7ZzS7kTfJkWNjacGjcGlWI0n/eziAiqeizCQC7npKVVtiuJJ8rl7Hj/Dq/379EzMOCH1avp3bt3gSuiJxRMp0+fZuKE8QQEBjK1Z33m9m+cK3N87z0fQG/Pw/SorML+nqJbeX5ITJbz/Z8JzD//CalMBdeRs+nkOuKL+32Kj2Wca1Ma1qvD4cOH8j5QQRByRVZJXkhICBER+TM9q5GRUY4T7qJIJN2CUMT98ccfNG3aFNdm39HYrr2yw/kmKfIU/G7u4ve/fTDT1+fa9KmUNTBQdlj5Zte1v+nr7UMvfX3mm5p9cXv/2Fg83kbwOD6e0aNHs3DhQjHHtpBjCQkJLFu2jEWLFmJZSp/NE9rSrPrX30AFPI+g9mhfjDVSeDZOS0xFlw+u/5PMoMNx3H+TQoXKtZj9wy509bP/t/OPU4f4Ye4ITp8+TatWrfIwUkEQckt2kzwhf4ikWxCKsKSkJOxr2RMdnsh3ndcilRSNm9u7wX/ic8YTqSSFQyOG4VilsrJDyjf9fXzZfe1vNpcpSwNt7Qy3eZ+UxA8RERyI/EAde3s2btpE7dq18zlSoah58OABQ4e48+eVq4zoUItlQ1qgp52zbuExcQnUHuXLizcfeDpWC1OdovE3qaCKTZQz79wnVl5JQENDnWHTf6C5Y/ccH0culzN7ZGekSbHcunWzWPUyEoTCSiTdBUt2vx/iqigIhdCGDRu4d/8ePRuNLTIJN0A1y0ZM674RXU0jnNdtYP5vvys7pHzj1duFsgYGjAsLJfY/04jJ5XJ+jfxAhxchnElJZsOGDVy9dk0k3EKuqFy5Mpf+uMzatWvZcf4hlYd689uVR9neXy6XM/SH4zz55z37uqmLhDuPnXmaRGWvj/xwNYGaDRzYcjzgqxJuSC1sOWi8B/fv32Pz5s25HKkgCILwmbgyCkIh8+bNG2bPmk2jSs5YmFRSdji5rlSJckzttoHK5eqy4Ogx2q5eQ0oezGVd0OhparJ3qDuxyckMefFCsfxdUhLjQkOZFRZG+549CXz0iBEjRiCTyZQYrVDUSKVSxowZw/37D6heuyGd5h6gt+dh3rz/+MV91x/xZ8/5AEbXUaGDrWo+RFs8vY+TM/hwHK23x/IuRZvZq/Yy58fdaGh829j5CnY1cXDuxezZc4pMYSNBEISCRiTdglDIeHh4kJwop2M9d2WHkmc01XUY5rSQdvb9ORUQiPnM2YRFRio7rDxX38qKhZ06cis+jq3v3nIhJoYuL19wW0XGr7/+yvYdOyhVKncrTQvCv5mbm3P02DG2b9/O6Tth2A3ZwrZTdzOdXuzqg1dMWH+aGqWkrG6nmc/RFh8HHiRisy6GbXcSae7Ugy3HAqhZr3muHb/viJnExcXj4eGRa8cUBEEQ/p8Y0y0IhcjTp0+xtbXF2d6NtrVclR1Ovrj97A98zy5GRQK/jxlBS1tbZYeUp5JTUmj54yquPHlKYkoK7Zyc8PbxwdTUVNmhCcVMeHg448ePY/fuPbi0sGPTBKc0Y73DP8RSY/gWYmPjeDlRCx018Rw/t/0TncKoo/EcDkqipKEJM1Zsx7pSjTw51y++q9m35Xvu3buHbRH/OysIhZkY012wiDHdglAEzZ07Dx2NErSo2lXZoeSbGlZNmNptPVoaBrRdvQ7PY8eVHVKeCgp7zdvYWOQSCStXruTosWMi4RaUwtjYmF27drN3716O3XhB7dHbuPX4NQDJySm4Lj5MRGQsp/ppiIQ7l8nlcjbfSMB2XQzHHifT0XUEm47cyrOEG6CT63BKGpsxadLkPDuHIAhCcSWukoJQSNy9e5ddu3biWLMvaqrF68mmmYEl07r/hE0Ze2Yf+Q3ntV5Fbpy3XC5ny+XL1Fm6DLne/7F332FV1v8fx5/ncNiHIUNFlKGI4J64996ZI0tTJO1rmWmZaUsrc2RaWo5SETRnbtNSc29xjwRRERAUFVGUPc75/UFS/FyIcG7G+3FdXMl97vv+vA4EnPf5LBtOnznDhx9+KPtuC8X169ePU6dOY+VYnkajfuXn30/z1a8H2XU6gm9am9DAWVa8zk9X4nS0WpLM21tSsCrtzqxVhxny/pcFvgWbiakZg0Z8wdatW9ixY0eBtiWEECWNDC8Xoojo3q07QYdO81mfxRgZlcwXuTpdJltOBLLj9AoqlLLjxCcfU9raWulYLy0pLY1hy5azIug4Q996i9k//oiFxcstjiREfktJSeGjMWOYO28eAK3djNg9+Mnb24kXl6HT8/2RNL7YkwpqI14b9gm93nzPoBn0ej1fvNsLfeoDzp07K1uICVEIyfDywkX26RaiGDl06BDNmjXDt+1n1Pdoo3QcxZ0O28fS3dPQGKnY9t67tPCsrHSkPIu6d4+ePy8g5PZtFvn78/rrJWOuvii65s6dy4cffkDlUrCxnykedjJo7mWdvpmJ76YUzt/KxL1KTT7/fjm2do6KZLkacpaxQzoSGBjI4MGDFckghHi6ZxV5kZGRxMbGGiSHg4MDLi4uBmmrMJOiW4hiQq/X06J5CyJCYxjba36x2pf7ZUTfDeOXbZ8TnxTL1Fd6MLZDe6UjvbBj167xyi8LMdZq2fz779SuXVvpSELkysWLF+nVszu3oiNZ/ooxXT1lq7C8SE7X89W+VL47nIaJiQlDx06nTdf+Ssdi+ng/bkWGcOlSCMbG8r0VojB5WpEXGRmJt5cXScnJBslhYW5OcEjICxXevr6+LFmyhP/973/8/PPPOR579913mT9/PoMHDyYwMPCFzn0kJiaGyZMns3XrVqKjoyldujS1a9dm9OjRtG3b9qWe79PktuiWcUNCFHLbtm3j4KGDvNN5ihTc/+FsX5FxvX9m8c5JfLx+AwevXGHD8P8V+LzH/LLs2DGGLltBvfr1Wb9hg2wFJoqUqlWrEnTiFG8OHED3VVv5qqWOz1qYoJY1CHJtX3gGfptTCL+vo3r9Foz/NgAz88IxXL/f0I/48M02/Prrr/j5+SkdRwiRC7GxsSQlJ7NsiC/eTgW7AGvwzRgGBgQSGxv7wr3dFSpUYNWqVfzwww+Ym2dtNZmSksLKlSsfu9eLnBseHk7Tpk2xtbVl+vTp1KxZk/T0dLZv386IESMICQl5iWf88qToFqIQ0+l0jB//CR7lalC1go/ScQodSzNrRnSZxuYgfzafXU2lLyZy8pNx2Gm1Skd7Kp1Ox2ebNjNt+w4GDx7ML7/8gqmp6fMvFKKQsbGxYeOmzXzzzTdMmDiR83f0/PqKKaYaKbyfJT5Fz9i/Ulh4Kh2tpZZPvvuZek3bKR0rBzePqjRu042vv57EwIEDMTExUTqSECKXvJ3KUrcQD/uuW7cuYWFhrF+/ngEDBgCwfv16KlSoQMWKFfN87rvvvotKpSIoKAhLy3/fwKxWrVqhePOwaHQJCVFC/fbbb5w7d5bu9d+SVayfQq024pVGb+Pb9jOi7j3A5bMJHAkLUzrWEz1MSeGVnxfw7Y6/mDFjBgEBAVJwiyJNrVYzYcIENmzYwObLerquTOVhqsxae5pNIelUmZPA4tPpNG3Xk8XbQgpdwf1IP78xREZG5Bi6KYQQ+WHIkCEEBARkf7548eKnFsa5OTcuLo5t27YxYsSIHAX3I7a2tvkT/CVI0S1EIZWens5nn31OdddGVHKqoXScQq++Rxs+6jUHY40VzWf8wKydu5SOlMP1uDiazJjJ3rAwtmzZwpgxY+SNFFFsvPLKK2zf8RfH7xjT5tdU7iQWry39XlZMgo7evyXxyupkUk3smLxgK2Mm/VKoVwd3reRN07Y9+OabyaSmpiodRwhRjLz55pscPHiQ8PBwIiIiOHToEAMHDszzuVeuXEGv1+Pl5WWI+HkiRbcQhdTixYu5di2M7g2UHxJTVJR38GB871+oWLY6H6xdT59fFhSK/bwvxdyi6cwfeKg24uixY3Tp0kXpSELku5YtW7J33wEiU61oviSNyHjlf/aUptfrCTidRpU5CfwemkmXvm+xaMt5PKvXUzparvT1+5CoqOssXrxY6ShCiGLEwcGBrl27smTJEgICAujatSsODg55PvfRuuCFuTNDim4hCqGkpCS++vIr6nm0wdm+ktJxihStuQ3vdf2ONjV7s+70GTwnfsX9pCTF8pyMiKTZzO+xKl2aQ4cPU7VqVcWyCFHQ6tSpw6EjR0mzKEOTgFQu3slUOpJiwu7paPdrMn6bU7Cwd+GHFQcZ+uHkIrPYI0AF9yo0b9+LyZOnkJKSonQcIUQx4ufnR2BgIEuWLHnunOvnnVu5cmVUKhXBwcEFFfelFZ3f/EKUIP7+/ty6fZuu9WSP1LwwUhvxauN3GNR6POF371Hhky84Hh5u8Bz7QkNpPWs2lby92X/gAM7OzgbPIISheXh4cOjIMezKV6b5klSORmUoHcmgMnV6vj+SSrV5CRy8ruf1YeOYty6Ici5F8w3Uvn4fcvPmDRYtWqR0lFxzc3NDpVKVuA83Nzelv/RC5FqnTp1IS0sjLS2Njh07vtS5dnZ2dOzYkblz55KYmPjY4/fv38+v2HlWeCcTCVFCZWRk8N13M6hbqRWONlKkvQwfz/Y4lXLl522f03j698zq+yrvtW5lkLa3/32RV35ZQLPmzdmwcSPaQryiuhD5zcnJiX0HDtK9axfa/nqcdX2hk0fxf8lx7lYmQzalcOpmJm6Vq/HFDyspZV9a6VgvxdnVg+YdXmXKlKm89dZb2dv2FGYRERHZw01LksI8tFYYTvDNmCLRhpGRUXbPtJGR0UufO2/ePJo0aYKPjw9ff/01NWvWJCMjg7/++ov58+cr3gte/P8CClHE/Pbbb1y/HsmA3p8pHaVYqODoyfg+v7Box1eMXL2GQ1evstxvSIEO8dxy7jy9FyykfYcOrF23DjMzswJrS4jCqlSpUuzYuYt+ffvQfdU2lvY04/UaxkrHKhApGXq+2Z/KtINpGJuYMHz8t3To+eRFgYqivn4fMur1DSxYsIBRo0YpHUcI8QQODg5YmJszMCDQIO1ZmJs/dR52bllbW+fbue7u7pw6dYrJkyczZswYbt68iaOjI/Xq1WP+/PkvlTM/qPQl8a1AIQopvV5PrVq1yYw35d3O05SOU6xkZmaw/uh89l3YiGfp0hwfPw5ri/zvsVl36jT9/RfTvXt3Vq1eLfvbihIvPT2doW+9xa/LfmVBNzOG1i1ePxMHIzPw25TClXs6qtZpwifTl2BhaaV0rHw368sRhAef4OrVK4V61XXI6vEtiS9vS+rzLmlSUlK4du0a7u7uj72pHxkZSWxsrEFyODg44FKI9wM3lGd9P/6rcP/WFKKE2bFjB+fPn+P9bjOUjlLsGBlp6Nt0JBUcKrNy/w+U//Rz9n44irr5+Adj89lzvLbIn759+7L0118xNi6evXpCvAhjY2MCAgOxtLTk7V9+Rmuion/1ov+z8SBVz/idKcw/kY6lhQUfT5tLwxadlY5VYLr3f5uxQ9axceNG+vTpo3QcIcQTuLi4SCFcSMlCakIUItOmTsOtjBeVy9VWOkqx1ahKJz7oORuVyoyG02aw4MDBfLnv/suX6bfIn549e/LrsmVScAvxH2q1mjlz5zJwwEDe3JjC75fSlY70UraGplNlTgILTqbTqFVX/P8MKdYFN0Alr1pUq9OY77//QekoQghR5EjRLUQhsWPHDvbu20tZG1cZHlbA3Ep7Mb7PAio4VmH48pUMesn5T2euX6f7/F9o1rw5K1auLPRDL4VQglqtZnFAAN2796DvulR2Xyt6q5rfTtTRf20y3VYmk6yx5ev5m/l4qn+JmUbS7bW3OXLkMMeOHVM6ygvz9fVFpVIxbVrOqVsbN27MsQDZ3r17UalUz13t+MiRI7Rp0wZLS0tsbW1p1aoVycnJz7wmOjqagQMHYm9vj4WFBbVr1+bkyZPZj8+YMYMyZcpQpkwZfvgh55sbx44do169emRmltxt+IQoyqToFqKQWLBgASqViqOh2/l4SU/WHJpDWkaa0rGKLWsLO0Z1n0nTqt349VgQVb/8moQ87EN7+dZtOs6Zh6e3Nxs2bsTU1LQA0gpRPGg0GlauWk3LVm3osbrobCem1+v59WwaVeYksi44g469BuG/9W+8a/koHc2g6jfrgFN5t8cKwqLCzMyMb7/9lnv37r3UfY4cOUKnTp3o0KEDQUFBHD9+nPfee++ZC3Teu3ePpk2bYmxszJ9//snFixeZOXMmtra2AJw/f54JEyawcuVKVqxYwaeffsqFCxeArHURhg8fzs8///zcVZ6FEIWTdMcIUQhERUWxceNG3vcbR4VybqzYuJh95zdwOGQr3uXr06/ZKGwtX26FSPE4jZEx/ZuPxsWhMqsOzMb5k885MGY0NcuXz9X1N+7fp8OcOZQqXZo/t23Dyqr4LZ4kRH4zNTVlw8ZNdGjXlm6rTnDIV0UVh8JbSETc1zHs9xT+CsugdFlnZn6/ggruVZSOpQgjIyO69BtK4OyJREZGFrm5o+3atePKlStMnTqV6dOn5/k+H3zwAe+//z7jx4/PPla5cuVnXvPtt99SoUIFAgICso/9d1/t4OBgatasSZs2bQCoWbMmwcHBVK9ene+++44WLVrQoEGDPGcWQihLerqFKATmzp2LuZk5Xdu9SuN6zflpUgAB36+lddMOXIg8ysQVb/Dd+ncJvx2idNRiqYl3V0b3+AEdJtSbOp2AQ0eee01cYiId58wlw8SUHTt3vvS2GUKUJBYWFmzespXS5d3ptDKNmw91Skd6TKZOz4/HUvGam8C+SB39/Mbw84aTJbbgfqRN19cxs7Bkzpw5Skd5YUZGRkyZMoWffvqJqKioPN3j9u3bHDt2jNKlS9OkSRPKlClDy5YtOXjw2euDbN68mfr169O3b19Kly5NnTp1WLhwYfbjNWrUIDQ0lMjISCIiIggNDaV69epcuXKFwMBAvvnmmzzlFUIUDrJlmBAKS0pKorxzeTq06M77fuMee/x2bAxrtixjw7ZVpKSmYKctSw+ft6jn0VqBtMXb/cRYFu2YSMTtS/g2acTiQW8+8bzE1FTa/ziH0Hv3OHDwIN7e3gZOKkTxEBkZSZNGPjhyj32DTbE2VT3/IgP4+3YmQzancDw6E5eKXnzxw0rsSzspHavQWDrna3ZvWU50VBRarbZA2khPT+evv/7i5s2bzz3XwcGB7t27Zw/vftLWWb6+vty/f5+NGzfSuHFjqlatir+/Pxs3bqRXr17Z5+/du5fWrVtz79697KHf/3X06FEaN26MnZ0dM2bMoHbt2ixdupR58+Zx4cKFp/Z4P9pK6MMPP6Rv374EBQUxevRofvnlFwYNGgTAzz//nD10/4MPPmD48OG0a9eO9957j4yMDL788kuMjY2ZPXs2LVq0eKwN2TKsZMjtFlXCMHL7/ZCiWwiF/fLLL7z77rusnv8n5co8fVhzYlICv+9cx8qNgcTG3UZrZkPL6r3oWGfAM+eRiReTnpnGmoM/cTjkD2qUK8fR8R9j8Z9FknQ6Ha/+spCdly+zZ+9eGe4nxEs6f/48zZs1oYFjGltfN8XESLnCOzVDz9SDqUw+kIZGY8yg9yfRqbevYnkKq9hb0bzT24cffviBkSNH5uu9L168SEBAAEuXLuX27du5usbe3p5r165lT/F5XtG9f/9+2rRpw7lz5wgNDX2hovvw4cM0bdqUTz75hClTpmQfr1mzJl27dmXq1KlPzGhiYkL9+vU5fPhw9rH333+f48ePc+TIk0dXBQYGsmnTJn7++WeqVKnC8ePHiYqKYsCAAVy7du2xNUSk6C4ZpOguXHL7/ZBX6kIoSKfT8cMPP9Dcp80zC24ASwst/XsMZt3Cv/hqzHeUK1eOrScCGRvYnWV7p5OclmCg1MWbsZEJb7QcQ//mo7lwMwbn8Z/x941/e1om/L6FzefOsfq336TgFiIf1KhRg42bfmd/pI4Rf6QqluPI9Qxq/ZzI1/vSqFyjIQt+Py8F91M4lHGmcZvuzJo1O19W046Pj2fBggU0atSIatWqERAQwOuvv86ZM2fQ6XTP/bhz584LranRokULOnbsyKeffvrCWZ2cskY8VK1aNcdxb29vIiMjn3ndi1wTGxvL119/zU8//cSxY8fw9PSkcuXKtG7dmvT0dEJDQ184uxBCObKQmhAK2rlzJ5cuXeL9ybn/w68x0tCueRfaNuvM2YsnWb5hMYdPbOfElV1UKluL15q/T2mb3C0EJp6uWdXuOJVyY8GOCdSZPJXFbw5EY6Rm8p/b+Pbbb+natavSEYUoNlq1asUvCxYyZMgQGpdX41fHcFtwJaTp+WxXKj8FpWFubs5Hk3+icZtuBmu/qOr+2tuMG9qFLVu20LNnzxe+XqfTsW/fPgICAli7di2pqal06tSJtWvX0q1btwLfCWLatGnUrl0bT0/PF7rOzc2NcuXKcenSpRzHQ0ND6dz56Xu1N23a9InXuLq6PvH80aNH88EHH1C+fHmOHz9Oevq/e9tnZGTI1mHiiSIjI4mNjTVIWw4ODkVuMUUlSdEthIIWL16Mu4sHtarWe+FrVSoVtavVp3a1+kREhbF681K27t7IN78NoaytK70bj6BK+ToFkLrkqORUg/G9F7BwxwQGBS5BozFi4IABjB07VuloQhQ7vr6+HD50iBFLFlPXyYjaZQt+RfNtVzIYujmZmwl66jfryJjJC0vMntsvq3K1ulSpXpeff/7lhYruyMhIlixZQkBAANeuXcPDw4MvvviCQYMG4ezsXICJc6pRowYDBgzgp59+eqHrVCoVY8eOZeLEidSqVYvatWuzZMkSQkJCWLt2bfZ5bdu2pVevXrz33ntA1hztJk2aMGXKFPr160dQUBALFixgwYIFj7Xx119/cfnyZZYuXQqAj48PISEh/Pnnn1y/fh0jIyOqVCnZC/qJx0VGRuLl5U1ycpJB2jM3tyAkJPiFC++YmBgmT57M1q1biY6OpnTp0tSuXZvRo0fTtm1b3NzciIiIYOXKlfTv3z/HtdWqVcueguLr65t9/PTp00yZMoX9+/cTHx+Pi4sLLVu2ZOzYsdlvrK1bt47p06cTEhKCTqfDxcWFTp06MXPmzMcydujQgV27dnHo0CEaNWr04l+cJ5CiWwiF3Lt3j40bNzL09ZGoVC83h9G1fEU+fvdLhg14nw1/ruK333/lp60fYWvpQKe6A2lWtXs+pS55SmkdGdbha75cORAXF1cWLFz40t8vIcST/fjTT5w8cZzeay9ycqgZtmYF87MWm6Rj9LZUlp9Px9rGli/nLKZ63SYF0lZx1rb7QOZPG/Pc7cNSUlLYuHEjixcvZufOnVhYWNCvXz+WLl1K06ZNFfudOmnSJH777bcXvm706NGkpKTwwQcfEBcXR61atfjrr7+oVKlS9jlXr17N0ePYoEEDNmzYwCeffMLXX3+Nu7s7s2bNYsCAATnunZyczHvvvcfq1auz12txdnbmp59+YsiQIZiamrJkyRLMzc3z+KxFcRUbG0tychKD23xCWduC7YGOuR/Jkt1TiY2NfaGiOzw8nKZNm2Jra8v06dOpWbMm6enpbN++nREjRhASkrVLz6Pt9f5bdB89epSYmBgsLS1z3HPLli307t2bjh07snz5cipVqsTt27dZs2YNX3zxBatXr2bnzp3079+fKVOm0KNHD1QqFRcvXmTXrl2PZYyMjOTIkSO89957+Pv751vRLQupCaGQ+fPnM3LkSNYv3IWDnWO+3js1NYVtezezfMNiomOuY25qSeMqXejRwA+NRnpxXkSmLpP5f44nNjmSU6dPUaFCBaUjCVGsXbt2jXp1atOsbAobXzNFnY8FmV6vZ9WFDN77M4UHqdCya3/eGT9TFqPMo+SkRIZ2r8m4j7N6fv9Lr9dz+vRpFi9ezPLly7l//z7NmjXDz8+Pvn37Ftiq51ByFxQrqc+7pHnawl2nTp2iXr16jHt1PhUcX2zaxIu6fieUb9e/w8mTJ6lbt26ur+vSpQvnzp3j0qVLjxXP9+/fx9bWFjc3N15//XV++OEHLl++nP266+2338bMzIylS5cya9YsfH19SUpKwtXVlWbNmrFhw4bH2nt0z9GjR3P27Fn27Nnz3IxfffUVISEhTJw4ER8fH27evPlY1v+ShdSKOTc3N1QqlXy84Iebm5vS37psAQEBNKzTLN8LbgBTUzN6duzHqnl/8O2nc/CsVIXd59YwdklPFv31FQ+S7uV7m8XVluOLCb1xhtW/rZaCWwgDcHd359flK/j9UhrTD6Xl232vx+voujKZN9Yno7Yqy3dLdjPi0x+k4H4J5haWNG33Cv7+i7PnGMfGxjJ79mzq1KlDvXr1WL9+PcOHD+fSpUscOHCAIUOGFGjBLYQonOLi4ti2bRsjRox4YhH7390CypQpQ8eOHVmyZAmQtb3u6tWr8fPzy3HN9u3biY2N5eOPP35im4/uWbZsWf7++28uXLjwzIx6vZ6AgAAGDhyIl5cXnp6eeRoN8yTyl6aIioiIQK/Xy8cLfkRERCj9rQOytkQ5fvw4Xdq8UqDtqNVqmvm0Zt6UX1k0YzUtGrXl3LWDfLHiNWZuHMn1O1cKtP2i7nz4Yf46s4pp06bRpk0bpeMIUWJ07dqVzz//nM/2pLHnWsZL3Uun1zPveBpecxPYGabj1cGjWLDpNK4e3vmUtmRr32MA169H8tdff5GWloaXlxdjx47Fw8ODrVu3EhkZydSpU194wTIhRPFy5coV9Ho9Xl5euTrfz8+PwMBA9Ho9a9eupVKlStSuXTvHOZcvXwZ47j1HjhxJgwYNqFGjBm5ubvTv35/FixeTmppzx4ydO3eSlJREx44dARg4cCD+/v65fIbPJkW3EAoIDAzExtqWpg1aGaxNb4/qfP3RDNb8sp0+XQdw414Y0zcM56uVgzhz7aDBchQVD5LiWHFgJl27dOWjjz5SOo4QJc6XX35Jm1at6L8hnegHujzdIyQ2k6aLkxjxRwp2zpWZs+44A4d/ks9JSzaPqnVw8/Bm4aJFmJiYsHHjRqKjo1m7di1dunRBo5Hlg4QQZE99yO0aDl27diUhIYH9+/ezePHix3q5/3vP57G0tGTr1q1cuXKFzz//HK1Wy5gxY/Dx8SEp6d+F5/z9/Xnttdeyf2+9/vrrHDt27LGdB/JCim4hDCwjI4OlS3+lffOumBgbfn512dLleN9vHJsW7+GdQR+SqU5h0Y6JfLK0N3+dWYVOl7cXt8WJXq9n+f4ZmFkYszhgsSycJoQCjIyMWLFqNSZW9vRbl0Z6Zu7nqqZl6vlmfyo15idy+pYKv9GT+HHlARzLGG517JJCpVLRukt/tvz+O3fv3qVZs2Y4Oub/tCkhRNFWuXJlVCoVwcHBuTpfo9Hw5ptvMnHiRI4dO/bYooNA9giaRwuwPU+lSpUYOnQoixYt4tSpU1y8eJHVq1cDWcPfN27cyLx589BoNGg0GpydncnIyGDx4sW5fJZPJ0W3EAa2fft2bt2KKfCh5c9jpbVmQC8/1i/cyYTR0yhd2pFNxxYydkkPVu7/npQ0w2w5URgduLiZvyOOERAYQOnSpZWOI0SJ5ejoyJp1Gzh+Q8e4nanPvwA4Hp1JnV8SmbAnlYpV67Hg9/N0e21YASct2Zp3fJVMnY5Vq1YpHUUIUUjZ2dnRsWNH5s6dS2Ji4mOP379//7Fjfn5+7Nu3j549e1KqVKnHHu/QoQMODg5Mnz79iW0+6Z6PuLm5YWFhkZ1l+fLllC9fnrNnz3LmzJnsj1mzZrFkyRIyMl5uqpMU3cWMr69vjoXD7O3t6dSpE+fOnctx3qPHjx49muN4amoq9vb2qFQq9u7dS2hoKBYWFqxYsSLHeTqdjiZNmtCrV6/nZrpy5QpWVlY5Fkh4mnv37vHmm29iY2ODjY0Nb775Zo4fmLi4OLp3745Wq6Vu3bqcPXs2x/XvvvvuE/fbK0wCAwLxcK+CZ8XCMZ/Q2NiEjq26s2TWBmZ/5U/tanU5FLyV8UtfZd4f47n7IEbpiAYVcy+Cjcd+Yfjw4XTt2lXpOEKUeI0aNeK7GTP44eiz53cnpun5cHsKDRclci3BhNFfz2fawq1Y2Tz+Qk3kL1s7R+o2akNg4BKlowDg6uqq+MKtSny4uroq/aUXhUDM/Uiu3wkt0I+Y+5F5yjZv3jwyMzPx8fFh3bp1XL58meDgYH788UcaN2782Pne3t7ExsYSEBDwxPtZWlqyaNEitm7dSo8ePdi5cyfh4eGcOHGCjz/+mOHDhwNZ05U+/vhj9u7dy7Vr1zh9+jR+fn6kp6fTvn17IGtoeZ8+fahevXqODz8/P+7fv8/WrVvz9JwfkYk2xVCnTp2y/+eMiYnh888/p1u3bkRG5vwBebQH3n/3n9uwYQNarZa4uDgga9jGtGnTGDlyJK1bt8bJyQmAmTNncuXKFTZu3PjMLOnp6bz++us0b96cw4cPPzf7G2+8QVRUFNu2bQOytgd48803+f333wGYPHkyDx8+5NSpU8yfP5+hQ4dy/PhxAI4cOUJQUBA//fRTLr5Kyrh79y6bf9/M/waOLnRDllUqFfVrNaJ+rUaERV5h1aZAtu39na9WD6JcKXf6NH0PD6caSscsUBmZ6SzdOw1XN9dC/+aNECXJyJEj2bBuLW9tOca5/xmhNcn5+3NnWAZ+m1OIfqCjTuO2fDzFH5NnbN0i8l+rLv347tOhXLx4kapVqyqaJTw8XNH2hVCCg4MD5uYWLNk91SDtmZtb4ODg8ELXuLu7c+rUKSZPnsyYMWO4efMmjo6O1KtXj/nz5z/xGnt7+2fes2fPnhw+fJipU6fyxhtv8ODBAypUqECbNm345ptvAGjZsiVz585l0KBB3Lp1i1KlSlGnTh127NhBlSpVOHnyJGfPnmXhwoWP3d/KyooOHTrg7+9Pz549X+j5/pfs011EqVRP3ovR19eX+/fv5yiGDxw4QIsWLbh9+3b2PCuVSsXnn3/Ojz/+SExMDObm5kDWMI1GjRoxadIk9uzZQ6tWrdDr9bRr1w5zc3O2bNlCSEgIderUYeXKlbzyyivPzDlu3Dhu3LhB27ZtGT169DOHeQQHB1O1alWOHj1Kw4YNATh69CiNGzcmJCSEKlWq0KVLF3r06MHw4cMJDg6mfv36JCYmkp6eToMGDVi0aBH169d/4a+bocyZM4cPRn/ARv/dlLJ99i+RwuDuvTus+2MFa7euIDEpgVLa0nSp70vjKh2VjlYgNh9bxO7zazh67Cj16tVTOo4Q4j+uXr1KzRrVGVJdx5wuWQV1XHJW7/aSs+lYWVnz4eRF1GrQQuGkJVN6WirDetRm+P+G8e233yodR4hi61n7QkdGRhIbG2uQHA4ODri4uBikrcIst/t0S093MZeQkMDy5cvx8PB47J2ievXq4e7uzrp16xg4cCDXr19n//79zJ07l0mTJmWfp1KpCAgIoEaNGixcuDB7Zb/nFdy7d+9mzZo1nDlzhvXr1z8365EjR7CxsckuuCFrWKGNjQ2HDx+mSpUq1KpVi927dzN06FC2b99OzZo1Afj2229p1arVMwvuwiAgIIDG9VsUiYIbwL6UI28PGMWbvYfxx+6NrNgYwPK909lwZD7NqnanS/3BaNTF49fI1Zvn+evsKqZMmSIFtxCFUKVKlZj27XTef/99+lTVcCdRzzt/pHA/RU+rzv147/NZsue2goxNTGnStifLl69g2rRphW40lxAlgYuLixTChZT8dSqGtmzZglarRavVYmVlxebNm1m9evUTX4wMGTIke0W+gIAAunTp8sRVR11cXJg1axbDhw/nxo0bzJ49+5kZ7t69i6+vL4GBgVhbW+cqd0xMzBMXrSpdujQxMVnzisePH49Go6FSpUps2LABf39/Ll++zNKlS/niiy8YPnw4FStWpF+/fsTHx+eqXUM5f/48p06domub58+DL2zMzSzo3eUNfpu/jSnjZ+Pu6s6O0yv4OLAHAbsmk5BcuL7WLyo9M41VB3+goU9Dxo4dq3QcIcRTjBgxguZNm9B5eRL91iajtyjNt4v/4v0JP0rBXQg0adud6Oio7GlfQgghsshfqGKodevW2SvuHTt2jA4dOtC5c2ciIiIeO3fgwIEcOXKEsLAwAgMDn7gH3iNDhgzBycmJ999/Hxsbm2dmGDZsGG+88QYtWrzYML8nvTOu1+uzj9vY2LBixQoiIiLYt28fVatW5X//+x/fffcdy5cvJywsjEuXLmFhYcHXX3/91HYeLQTn7u6e/eHp6clbb73F5s2bc+zZl1+WLl1KKRs7Gtdrnu/3NhQjIyNaNmrHgukr+WXachrXa86pq3v4bHk/Zm36gJtx4UpHzJOdZ1ZxJz6ahYsWYmRkpHQcIcRTqNVqflm4iAy9ER7edVj0+1kqVinea00UJd61GmFbyoF169YpHUUIIQoVKbqLIUtLSzw8PPDw8MDHxwd/f38SExOfuDiAvb093bp146233iIlJYXOnTs/896P9q17nt27dzNjxozs89966y3i4+PRaDRP3euubNmy3Lp167Hjd+7coUyZMk+8ZvHixdja2tKzZ0/27t3LK6+8grGxMX379mXv3r1PzadSqXjjjTdyfHTq1IlDhw7Rs2dPHBwc6NmzJ/7+/k/M9KL0ej3r1q2jRaN2aDTGL32/wqC6V22mjJ/N6vl/0qvTa0TeDWHK2mFMWu3LhYhjSsfLtVv3r7P9zAo+Hvcx1atXVzqOEOI5vL29+WbyZMIuneXqpXPPv0AYjJGREfWbd2Tt2nWKrp8ihBCFTfGYjCmeSaVSoVarSU5OfuLjfn5+dOnShXHjxuVbL9+RI0fIzMzM/nzTpk18++23HD58GGdn5yde07hxY+Lj4wkKCsLHxweAY8eOER8fT5MmTR47/86dO0yaNImDBw8CkJmZSXp6OpC1avp/2///VCoV77333hMfu3TpEr///jubNm3i7bffRq/X06hRI3r06EGPHj3w9vZ+4blq586d49q1a4wcNP6FrisKnMtW4INhn/JW/3fZuH0Nq39fys/bPsXawo52tV6jVfVXC+2wT71ez2+HZlOhQgU+//xzpeMIIXLpww8/ZPnyFfw87SOmLfwDo1y8GSwMo1GrruzcvJxz585Rq1YtpeMIIUShUDhfCYuXkpqaSkxMDDExMQQHBzNy5EgSEhLo3r37E8/v1KkTd+7ceeZw7Bfl7e2dY487Z2dn1Go11atXz97cPigoCC8vL6Kjo7Ov6dSpE8OGDePo0aMcPXqUYcOG0a1bN6pUqfJYG6NGjWLMmDHZRXzTpk359ddfCQ4OZsGCBTRt2jRP2atUqcJHH33EgQMHiImJYfHixZQtW5ZJkyZRrVo1PD09GTNmDPv27SMj4+l7xv7Xhg0bsNJaUbe6T54yFQXWVrYM6jOMDYt28enIbyhlZ8v6I/P5eElPfjv4E2npKUpHfMzJq3u4FHWa+fPnZa/gL4Qo/IyNjVm4cAFXQ86xc/NypeOI/6hRvxmWVta5WkBVCCFKCim6i6Ft27bh5OSEk5MTDRs25Pjx46xZs4ZWrVo98XyVSoWDgwMmJiYGzZmUlMSlS5eye6cBli9fTo0aNejQoQMdOnSgZs2a/Prrr49du337dq5evcq7776bfey9996jYsWKNGzYkLS0NCZOnPjSGR0dHfH19WX9+vXcvXuXLVu20KZNG1auXEmrVq0oU6YMgwYNYu3atTx8+PCp91m/fj2N67XE2NiwX2MlmBib0LVtL5b/tJnvJ/5Cda+a7P97I+OWvsLP2z7nXsIdpSMCkJKWxKagX+jVqxcdOxbPLdCEKM4aNmzI4MGDWbVoOokPi/ZijsWJsbEJ9Zt2YO1amdcthBCPyD7dRZTS+00XVfn1ddPpdJw4cYLNmzezefNmzp8/j4mJCW3atMkehv6oB/7q1at4eHjwzcc/0LpJh5duuyi6fC2EVZuWsGP/FlSocLbzoF+zkbiV8VYs04Yjv3Ao9HcuXQqR7TWEKKJu3LhBZU9P2vYYyJD3v1I6jvhH0P5tTBvnS0hIyBNHqgkh8i63+0ILw8jt90N6uoXIA7VajY+PD9988w3nzp3j6tWrTJ8+nbS0NEaOHEn58uV54403gKyh5aYmpjSq20zh1Mqp7O7FF6Onsn7hTl5/xZc7CdeZuWkkE1cM4MSVXQbPcyc+mr0X1vP5559JwS1EEVauXDk+/eQT/ljjz43Iq0rHEf+o5dMSc3NLWcVcCCH+IT3dRZT0dOeNIb5u9+7d488//0StVtO/f3+aNGmCRmfOtE9+KtB2i5LE5ES27lzPyk2B3I6NwdLMmpbVetGh7hto1AW/IFLgrm+4kXiJK1evyFxuIYq45ORkvLy8KeNShU++W6p0HPGPGZ8NI/leNKdOnVQ6ihDFyrN6ViMjI4mNjTVIDgcHB+m4IPc93VJ0F1FSdOeNob9usbGxlC5dmvEjvqZbu1cN1m5RkZGZwf6ju1i23p9LV//GxNiU2m4t6NPkPSzMtAXSZlTsFaat+x8LFy5k6NChBdKGEMKw1qxZQ79+/ZgwezW1fVoqHUcAB3du5PsvhhMWFoa7u7vScYQoNp5W5EVGRuLt7U1SUpJBclhYWBAcHPxChbevry9LlizJ/tzOzo4GDRowffp0atasCZC9Q9CRI0do1KhR9rmpqamUK1eOuLg49uzZQ7ly5ahduzaLFi3KHl0KWVNAmzVrRpkyZdiwYcPLPs3nym3RLXtsCFGAtm3bhl6vp3G95kpHKZQ0RhraNO1I6yYdOBd8ihUbAjh4fCenwvZQsUwNXms2mjKlyudrm7+fWIyHR2V8fX3z9b5CCOX06dOHZs2as3TOV9QM3FlotyksSeo1boeJiSkbNmzgww8/VDqOEMVebGwsSUlJTPjgW9zKVyzQtsKjwvj6h3HExsa+cG93p06dCAgIACAmJobPP/+cbt26ERkZmX1OhQoVCAgIyFF0b9iwAa1WS1xcHACenp5MmzaNkSNH0rp1a5ycnACYOXMmV65cYePGjS/5LPOXFN1CFKAtW7bg5VEN+1KOSkcp1FQqFbWq1qNW1XpERoez+velbN25nslrhlDG1oVXm7yDd/n6L93OlRvn+DviGL/99hsa2ddXiGJDpVIxbdpUmjVrxtG9W2nS5slbZArDMbfUUq1uE7Zt2y5FtxAG5Fa+IlUqVVU6xlOZmppStmxZAMqWLcu4ceNo0aIFd+7cwdEx6/Xy4MGD+fHHH5k1a1b2NMDFixczePBgJk2alH2vkSNHsmnTJoYNG8aWLVsICQlhwoQJrFy5ktKlSxv+yT2DvBUsRAHJyMhg+7btNKknQx1fhIuzG2OHT2CD/26G9H+HxPR7zN06js+W9WP/35vR6XR5uq9er+f3E/7UqV2H3r1753NqIYTSmjZtSrt27VnjPzPPvydE/qrZoAUHDx4gJSVF6ShCiEIoISGB5cuX4+Hhgb29ffbxevXq4e7unr0Y4/Xr19m/fz9vvvlmjutVKhUBAQEcOHCAhQsX4uvry2uvvcYrr7xiyKeRK1J0F1Gurq6oVCr5eMEPV1dXg32PDh8+zP34+zSp38JgbRYnpWzs8HvtXTYu3sO4EV9hZW3JbwdnM27pK6w7PJ+0jLQXut+FiCNcvXmBad9Ok6GnQhRTX3/9FRFhIRzevVnpKIKsVcyTk5M5fPiw0lGEEIXEli1b0Gq1aLVarKys2Lx5M6tXr37stdmQIUNYvHgxAAEBAXTp0iW7J/y/XFxcmDVrFsOHD+fGjRvMnj3bIM/jRckrzyIqPDwcvV4vHy/4ER4ebrDv0ZYtW7Av5UCVStUM1mZxZGpiSo/2fVg5dyvffT6PKh7e7Dm/lnFLerJwx0QeJMU99x46XSZbTi6mZYuWtG/f3gCphRBKaNy4MR07dmKN/0wyMzOVjlPiuVT0wtbOkZ07dyodRQhRSLRu3ZozZ85w5swZjh07RocOHejcuTMRERE5zhs4cCBHjhwhLCyMwMBA/Pz8nnrPIUOG4OTkxPvvv4+NjU1BP4U8kaJbiAKydetWGtZpJr2q+UStVtOkfkvmTl7C4plraNW4HefDD/PF8v7M2PAekXdCn3rtmWsHiY69xtRpU7NXxRRCFE9ff/0V18Mvc2jnJqWjlHhqtZoa9ZuzY8dfSkcRQhQSlpaWeHh44OHhgY+PD/7+/iQmJrJw4cIc59nb29OtWzfeeustUlJS6Ny58zPvq9FoCvV6PVINCFEAYmNjuXjxIvVrNVY6SrFUpVJVvhzzHWsWbKdf9zeJib/Gdxve5cuVb3I6bH+Oc/V6PbvOr6Z1q9Y0bizfDyGKOx8fH7p06cqaAOntLgxqNmjOqVMns1ccFkKI/1KpVKjVapKTkx97zM/Pj7179zJo0CCMjIwUSJd/Cu/bAUIUYQcPHgSgVtW6Cicp3so6luO9IWPx7Tec3/9ax8pNgfj/9RVacxtaV+9D+9r9uXzzLBG3LvHLksI5x0cIkf8mTpxAw4YNOX5gO41adVE6TolWq0EL9Ho9u3fvpk+fPkrHEaLYC48KK9RtpKamEhMTA8C9e/eYM2cOCQkJdO/++K4TnTp14s6dO1hbW+e5vcJCim4hCsCBAwcoW7ocZR3LKR2lRNBaWvH6K7707TaA3Ye2s3zDYn4/7s+OM8uxMLWmRo2adOjQQemYQggD8fHxoUmTpmxZvUCKboU5lHGmvKsHO3fulKJbiALk4OCAhYUFX/8wziDtWVhY4ODg8MLXbdu2LXtPbSsrK7y8vFizZg2tWrV67FyVSpWnNgojKbqFKAD79++nprf0chuaRmNMh5bdaN+iK6cuBLFoxRzOBZ9i8jtfylxuIUqYDz/8gD59+nA15CyVvGopHadEq9GghczrFqKAubi4EBwcTGxsrEHac3BwwMXF5YWuCQwMJDAw8Jnn6PX6pz5ma2v71McNuVhyXkjRLUQ+S0hI4PTp03z49udKRymxVCoV9Wo0ZEe5LdyNv8XQoUOVjiSEMLBXXnkFNzd3fl+1gNFfzlU6TolWq0EL/ly7mLCwMCpWrKh0HCGKLRcXlxcuhIVhyEJqQuSzo0ePkpmZKfO5FXbv/l12HNjKyPdHYmxsrHQcIYSBGRkZMWrU+xzatYm7t28qHadEq1a3CUZGRuzatUvpKEIIoQgpuoXIZwcOHMDWuhRu5SspHaVE27B9NUZGaoYNG6Z0FCGEQvz8/DA3N+fPtYuVjlKiWWqtqVy1jhTdQogSS4puIfLZ/v0HqO5VW+YQKygjM4NNO9YwaNAg7OzslI4jhFCItbU1bw8bxl+bfiU15fHtaITheFavz5Gjx5SOIYQQipCiW4h8lJaWxrFjR6lVtZ7SUUq0oNOHiL17m7ffflvpKEIIhQ0fPpyHD+5zdN8fSkcp0SpXrUNkRDi3b99WOooQQhicFN1C5KNTp06RnJwsRbfC/ti9kerVq1OnTh2lowghFFa5cmVatmzF7s3LlY5SolWulrXOSVBQkMJJhBDC8KToFiIfHThwAHMzc6pU9FY6SokV/+A+B4/vxc/PT4b4CyEAGDZsKOdPHebG9TClo5RYjmXLU8rOUYpuIUSJJEW3EPlo//4DVPWsiUYjq2Ur5a8DW9HrdQwYMEDpKEKIQqJ3797Y2NqyZ+tqpaOUWCqVikretTkq87qFECWQ7NMtRD7R6XQcPHiQVzu+rnSUEu3PPZvo0qUrpUuXVjqKEKKQMDMzo/9rr7F+01pef3scarX0OSihcrW6/PHbL+j1ehmJJEQBiIyMJDY21iBtOTg4yJ7gL0CKbiHyycWLF7l//57M51bQ1fBQQq78zdTvvlE6ihCikBk8eDC//PILF04eomaD5krHKZEqV61D/P37XL58GU9PT6XjCFGsREZG4uVVheTkFIO0Z25uRkjIJSm8c0mKbiHySVBQECqViqqeNZSOUmL9sXsj9vYOdOnSRekoQohCplGjRnh4VGbf9rVSdCvEw7s2kPX3UopuIfJXbGwsyckpvNGwNqWttQXa1u0HCaw4dobY2NgXKrp9fX1ZsmRJ9ud2dnY0aNCA6dOnU7NmzRznvv322/j7+7N8+XL69++f47HXXnuN8PBwDh8+jJGREQDp6ek0bNiQqlWrsmzZspd4dgVDxlcJkU/Onj1LhXKuWJhbKh2lRMrIzGDHgS28+eZATExMlI4jhChkVCoV/fr15cSB7WRkpCsdp0TSWttS3rUSx47JvG4hCkppay3lS9kU6MfLFPWdOnXi5s2b3Lx5k127dqHRaOjWrVuOc5KSkli9ejVjx47F39//sXvMmzePiIgIpk2bln1s0qRJxMTE8NNPP+U5W0GSoluIfHL27Dkquco790o5d/EUcffu8vrrMqdeCPFkvXv35uGD+1w4dVjpKCVWJe86HDsmK5gLUVKZmppStmxZypYtS+3atRk3bhzXr1/nzp072eesWbOGqlWr8sknn3Do0CHCw8Nz3MPe3p4FCxbw9ddfc+7cOU6ePMnUqVNZtGgRpUqVMvAzyh0puoXIB3q9nrNnz+LhVkXpKCXW/mO7cHZ2pn79+kpHEUIUUnXq1MHV1Y2je7YqHaXEqly1DmfPniE1NVXpKEIIhSUkJLB8+XI8PDywt7fPPu7v78/AgQOxsbGhS5cuBAQEPHZtjx496N+/P4MGDWLQoEEMHjy4UE8vlKJbiHwQFRXF/fv3pOhWiF6v58CxXfTq1UtWJRZCPJVKpaJPn94cP7CNzMxMpeOUSB5V65CWlsaFCxeUjiKEUMCWLVvQarVotVqsrKzYvHkzq1evzn79dvnyZY4ePcprr70GwMCBAwkICECn0z12r9mzZxMaGsrdu3f5/vvvDfo8XpS8OhUiH5w9exYAD3cpupUQcvVvYu7cpFevXkpHEUIUcr179+be3dtcOn9c6SglUoV//k5K0S1EydS6dWvOnDnDmTNnOHbsGB06dKBz585EREQAWb3cHTt2xMHBAYAuXbqQmJjIzp07H7vXihUrUKlUxMbGEhISYtDn8aKk6BYiH5w+fRpTUzMszCyUjlIiHTq+F1sbW1q0aKF0FCFEIdewYUOcnMpxRIaYK8LcwpIyThX4+++/lY4ihFCApaUlHh4eeHh44OPjg7+/P4mJiSxcuJDMzEyWLl3K1q1b0Wg0aDQaLCwsiIuLe2xBtbCwMD7++GPmzJmDr68vvr6+hXraimwZJkQ++OOPP0hNTaHzm00xMTbG2sqW8k4uVKlUjXo1GlKvZkPMTM2VjllsHT65j06dO6HRyK80IcSzqdVqevV6hfWbtvLWB5OUjlMilXf35MIFKbqFEFnTftRqNcnJyfzxxx88fPiQ06dPZ28FBhASEsKAAQO4e/cu9vb26HQ6hgwZQqtWrRgyZAi9e/emevXqTJw4MceK5oWJvEIVIh88iI+nWrkyVC1Xmpj4h9yMf0jo5XOc+fskqzcvRQWYmphia2OPi7MbVSvXoEHtJlSvUlsKxZd0J+42l65c5IsvP1U6ihCiiOjYsSPz5s0jJjqCss6uSscpcSq4V+HUARlpIERBuP0goVC3kZqaSkxMDAD37t1jzpw5JCQk0L17d2bNmkXXrl2pVatWjmuqVavG6NGjWbZsGaNGjWL27NmcP38+e8SMtbU1ixYtomvXrrz66qv4+Pjk/ckVEHm1L8RLysjI4MrVq3Su6kHDii45HktISSXmQQIx8Q+zi/EzF44RdOYwgWt+Qa1SYWZqjr2dI24VKlG9Sm0a1W1KRRdPWRAsl46c3I9araZTp05KRxFCFBEtW7bEyMiIs0H7KNtrkNJxSpT09DS01qWIjIwgISEBrTbv+/0KIf7l4OCAubkZK46dMUh75uZm2fOuX8S2bdtwcnICwMrKCi8vL9asWYO3tzdbt25lxYoVj12jUql49dVX8ff3p3Pnznz22WcsWrQo+z4AHTp0YMiQIfj6+v4z7dM070+uAKj0er1e6RBCFGWXL1/G09OTt1s2xLPM83/56PV64pNTuPlPIf6oGL/14CGZuqwfRyO1GgtzSxwdylLRpTI1vevQqF5znMtUKOinU+R8Mf1DEjPvc/ToUaWjCCGKkCZNmoKZHWOnLFI6SrGUlPiQ6PDLRIVfJioi67+RV4O5HROFXqdDbWTE/n37aNq0qdJRhShSUlJSuHbtGu7u7piZmeV4LDIyktjYWIPkcHBwwMXF5fknFnPP+n78l/R0C/GSgoODAShjlbt361UqFbYW5thamOPtVDr7uE6n525iUnYhHvPgITfibrAr4jI7D/wBgMbICEsLK5zKOOPhVoU61X1oVLcZttal8v+JFQF6vZ5zIad4a5if0lGEEEVM+/bt+GHWj2RmZuaYOyhyT6/Xc+/u7X+K61CiIq5w/dolroddIv7evy/8Ncam6I3NUGvtMfdqjknpitzfG0B4eLgU3ULkIxcXFymECykpuoV4ScHBwZibmmBt/nLDWNRqFY5WljhaWVKjfNns4xmZmdx5mEjMg6xi/Mb9h9y8EUbIlb/ZsnM9ACbGxlhpbXEuW4EqlapSt0ZDfGo1wqyYr6YeHRNJbNwdmjdvrnQUIUQR065dO77++muuhZ7Hw7u20nEKtcyMDG7djCQq/DLR2b3WIURHXCElORHIekPZyMQMvbE5RjZl0br6YFreGzPXWmi0do/dM/nUJkJDQw39VIQQQhFSdAvxkoKDgyljbYVKpSqQ+2uMjHCytcbJ1jrH8dT0DG49mi/+IGuI+tWwC5wLPsWaLcuyF2+zsbGjQjk3vD2q06B2Y2p51ys2i7edvXgKlUolPSVCiBfWqFEjLLVazgbtl6L7H6kpSURHXCU64kpWz3X4ZSKuBnMrOoLMzAwA1Goj1CZmYGaFpmwVrMtUwqx8NUwrVM86nktGts5cunSpoJ6KEEIUKsXjlbcQCrr49984WBp+OzBTYw0u9ra42NvmOJ6YmpbdK/5ovvj5v49z4uwRfl23EJVKhbmpGXalHHErX5FqVWrRsE4zKrt7FbnF285ePEn16tWxtbVVOooQoogxNjamRfMW/H36ML0Hv690HIN6cP/uP4V1Vq/1oyHhd2Nj4J+lfow0xqhMzFBZ2GFSqSGmTpUxc62FcZlK+fK3Ql2qHBeDpegWQpQMUnQL8ZIiIyOp5WijdIxslqYmVHK0p5KjffYxvV7Pg5TU7CI867/3OXpyPweP7+WXZbNRq1VYmFniaF+Gii6VqeFdhyb1WuDsVHjnBp0LPkWPXt2UjiGEKKIaN27E9O9motPpitybjs+j0+mIvRVFVPiVrDnXEZe5HnaJ6+GhJD6Mzz5P82hIuLUjltWrYVrOG3P32mhsyhRoPk0pZ64EHUSv1xfYSDEhhCgspOgW4iWkp6dz+84dbFwK9sXJy1KpVNiYm2FjbkaVso7Zx3V6PXH/XbwtPoEb8bfYfTiMXYe2MWvR1OzF28o6lsPDvQq1qtajcb0W2NnaP6PFgnf33h2u34iQ+dxCiDxr2LAhCQ/jiYm6RjmXSkrHyZP0tFRuRl3L7rWOjrhC5NVgblwPIz0tFQCVWp0139pEi6aUK1ZVKmJaoSrmLrVQm1kqktvYzpn7SYnExMTk2PZHCCGKIym6hXgJN2/eRK/XY2Oe+3lshYlapcJBa4mD1pLqzv9dvE1HbEJijiHqN2KucSnsIlt3bQDARKNBq7XFuWx5PCt6U7d6Q3xqN8HCwjAv4M5ePAUgRbcQIs8aNGgAwOWLpwt90Z2Y8CB7rnV0xBWuXwsl8mowd25Fo9fpADAy0qAyMQNzG4wr1MKibGXMXGtg4uyFWl24XvIZWWW9cRsVFSVFtxCi2Ctcv4GFKGKio6MBsLEw/JzugqQxUlPWxoqyNlY5jqdmZHD70eJt/xTj18KDOR9yhnV/rATA1MQEGys7KpRzxdujOvVrN6KWd31MTEzyNeO54FO4u7tTrly5fL2vEKLkKFWqFB6VPQn9+xQtO/VROk7WFlyxt3KsEn792iUiwy7x4P7d7PNybsHVAtNynpi51cHEvoKC6V+M5p+iOzo6OvvNDyGEKK6k6BbiJURFRQEU2Z7uF2Wq0VDBzpYKdrY5jielpXPr0XzxBw+5ef8hf4ec5OT5Yyzb4I8KMDMzx87WAZfy7lT3rIVP7aZ4eVTL8zzKkKt/06hRo5d/UkKIEq1RQx+CTp82aJuZGRncuhFB1KOe6/DLRISFEB1+hdSUJCDnFlwam7Jo3Rti6uyNmVsdNJa2Bs1bENQWNqiNNNlvXgshXl5kZCSxsbEGacvBwUH2BH8BUnQL8RKioqIwNTbG3Lhk/yhZmBjj7miHu+O/e7Hq9XoepqQSk90z/oAb9x9w/PRBjpzYz8IVP6FWqTA3t8DRrgzuLh7U8KpDo3rNcXV2f2Z7Op2OsIjLDBj8WkE/NSFEMefj48Pq1b+RnpaKsYlpvt47JTmR6MirRIc/Wik8lMiwkKdswWWNxskrawuuCjUwdamOWpO/I4QKE5VKjYm1vRTdQuSTyMhIvL28SEpONkh7FubmBIeE5Krwft5iiYMHDyYwMBCAPXv2MHPmTI4dO8bDhw9xdnamfv36jBgxAhcXF9zdn/0aceLEiXz55Ze5fRoGU7IrBSFeUlRUFLaWFrLy6hOoVCqszc2wNjfDs4xD9nGdXs+9xOQc25rduH+bfUeusefwDn5c/C0atRoLCyvKODrh4Za1eFujes1xtCsNwM3b0SQmJVCrVi2lnp4Qopjw8fEhPT2N8CsXqVy1Tp7uEX8vNscWXI+K67g7MdnnGGmMURmbo7IshYlHQ0ydPLO24CpdsditnJ5baq2dFN1C5JPY2FiSkpOZMHQwrk5ln3/BS4i4GcPXi5YQGxubq6L75s2b2f9evXo1EyZM4NKlf7cMNDfPmqY5b9483nvvPd58801Wr16Nu7s7N2/e5Pjx43zwwQcEBQXluNeMGTPYtm0bO3fuzD6m1Wrz4ynmOym6hXgJ0dHRWJsW356IgqBWqbDXWmCvtaBauX9Xfc/UPVq8LeHfxdtuR3LlWgh/7tkEgLFGg9bSGq2lNYAU3UKIl1atWjUArl+79Myi+98tuP6zSnhYCNevhZKU8CD7vBxbcNWskbUFl1ttNDalC/y5FDkWdlz/Z5qWECJ/uDqVpYpr4VrfoWzZf98EsLGxQaVS5TgGWT31o0ePZvTo0Xz//ffZx93d3WnSpAnvv//+Y9dptVo0Gs1j9yqMpOgW4iVERkRgbSZFd34wUqspY21FGWsralX4dyXb9IxMbj3MuXhbxJ0otJaWReKXrBCicNNqtbi4uhF1LRTI2oLrxvWwrL2t/ymuI64Gc/N6GOnpaUDWFlwaEzN0Jlo0dm5YeVfEtHy1f7bgslDy6RQpRlp7Iq+HKB1DCFEIrFu3jvT0dD7++OMnPl7UR5VK0V3Eubm5ERERoXSMIsPV1ZXw8PB8u19U1HUqa0vGImpKMdYYUb6UDeVL2WQfW3bkFFrXSkX+F7AQonCo6O7Gnj9+49Cu34m9FYVerwf+uwWXLcaudbK24HKpgYlzlUK3BVdRZGRlz81LN5SOIYQoBEJDQ7G2ts7RobJu3ToGDx6c/fmRI0eoUaOGEvFemvzFKOIiIiKyXxyI58vPIk2n03EzJob6Nbzy7Z4id+4kpdDwnyGhQgjxssqXL8/effsxLu2OuXdLTMtV+WcLrvJKRyvWNFb23E9I4OHDh1hZWT3/AiFEsfb/X6d37NiRM2fOEB0dTatWrcjMzFQo2cuToluIPLpz5w4ZGZnYWEhPtyHpdHpuxz/A29tb6ShCiGKiVatWLFu+HKeB36EqxiuGFzZGVlmLbEZHR+PlJW9gC1GSVa5cmfj4eGJiYrJ7u7VaLR4eHmg0Rb9kLZnLZQqRDx7t0W37z4qLwjDuJSWTnpEpL9CEEPnG09MT9HrS7918/ski3xhp7QFkBXMhBH369MHY2Jhvv/1W6SgFoui/bSCEQh4V3dLTbVj3krL2n3Rzc1M2iBCi2KhSpQoAGfeiMXF0VThNyWGktQOk6BZCgIuLCzNnzmTUqFHExcXh6+uLu7s7cXFxLFu2DAAjIyOFU+adFN1C5NGtW7dQqcBStgwzqPjkrKLb2dlZ4SRCiOLC0dERExNTMh7EKh2lRFEbm6LWmBAfH690FCGKjYibMUW2jZEjR+Lt7c33339Pnz59ePDgAfb29jRu3Jht27YV2UXUQIruYsnX15clS5Zkf25nZ0eDBg2YPn06NWvWfOz8t99+G39/f5YvX07//v1zPPbaa68RHh7O4cOHs99dSk9Pp2HDhlStWjX7nadnmTp1Kp9++imjRo1i1qxZzzx33759fPjhh/z999+UK1eOjz/+mOHDh2c//tdffzFixAhu3brFK6+8wsKFCzExySp64+PjadCgATt37sTFxeW5uV5WfHw85iamqGUFbYOKT0rFxtoarVardBQhRDGhUqko4+REfMJdpaOUOBozCx48ePD8E4UQz+Tg4ICFuTlfL1ry/JPzgYW5OQ4ODi98na+vL76+vk99vF27drRr1y5X9/ryyy/58ssvXziDEqToLqY6depEQEAAADExMXz++ed069aNyMjIHOclJSWxevVqxo4di7+//2NF97x586hWrRrTpk3js88+A2DSpEnExMSwa9eu5+Y4fvw4CxYseGKx//9du3aNLl26MGzYMJYtW8ahQ4d49913cXR0pHfv3uh0OgYMGMD48ePp2LEjffr0YeHChYwYMQKAcePGMXz4cIMU3AAPHjzAzMTYIG2Jf8UnJ+NcrpzSMYQQxUyF8uWJuydFt6EZmVrw8OFDpWMIUeS5uLgQHBJCbKxhRuw4ODgY7DV3cSBFdzFlamqavfJf2bJlGTduHC1atODOnTs4Ojpmn7dmzRqqVq3KJ598gpOTE+Hh4Tnmytrb27NgwQL69u1L9+7dSU9PZ+rUqWzatIlSpUo9M0NCQgIDBgxg4cKFfPPNN8/N/PPPP+Pi4pLdG+7t7c2JEyeYMWMGvXv3JjY2ljt37vDuu+9iZmZGjx49uHjxIgCHDh3ixIkTzJ079wW/Unn34MEDzIzlR8jQ4pNTKF+titIxhBDFjEuF8pyJuqh0jBJHZWIuPd1C5BMXFxcphAspWb28BEhISGD58uV4eHhgb2+f4zF/f38GDhyIjY0NXbp0ye4d/68ePXrQv39/Bg0axKBBgxg8eDBdunR5brsjRoyga9euuR4icuTIETp06JDjWMeOHTlx4gTp6ek4Ojri5OTEjh07SE5O5sCBA9SsWZO0tDTeeecdfv75Z4MusBAfH4+ppugu6FBUPUzLoEKFCkrHEEIUM87OzugT45SOUfIYm0tPtxCi2JOiu5jasmULWq0WrVaLlZUVmzdvZvXq1ajV/37LL1++zNGjR3nttdcAGDhwIAEBAeh0usfuN3v2bEJDQ7l79y7ff//9c9tftWoVp06dYurUqbnOHBMTQ5kyZXIcK1OmDBkZGcTGxqJSqfjtt9+YNGkSVatWpU6dOvj5+TFt2jTatm2Lubk5TZs2pUqVKsyZMyfX7ebVgwcPMC3CqygWVfHJKZQvX17pGEKIYsbZ2Zm0B7Ho9Xqlo5QoemPp6RZCFH8yNraYat26NfPnzwcgLi6OefPm0blzZ4KCgnB1zdoOxd/fn44dO2YvgtClSxfeeustdu7c+ViP84oVK1CpVMTGxhISEoKPj89T275+/TqjRo1ix44dmJm92HZaqv+3KNmjFz+Pjjdr1ozjx49nPx4aGsqvv/7K6dOnadGiBaNHj6ZTp05Ur16dFi1aPHUueWZmJk2aNOH+/fvZb05YWlrm6r/16tXD2dmZ+Pv3pafbwDJ1OuITk2TlciFEvnN2diYzLQV9aiIqM1mo0VBUJubcl6JbCFHMSdFdTFlaWuLh4ZH9eb169bCxscmeX52ZmcnSpUuJiYlBo/n3f4PMzEz8/f1zFN1hYWF8/PHHzJkzh0OHDuHr68vp06cxNTV9YtsnT57k9u3b1KtXL8d99+/fz5w5c0hNTX3iMPCyZcsSE5NzC4Lbt2+j0WgeGxYPWQX522+/zcyZM9HpdJw+fZo+ffpgYWFBy5Yt2bdv31OLbpVKxeDBgwkLCyMxMZGEhAQSExO5f/8+UVFROY49+u8jr7zyChs2bPhneLn8CBlSQmoaer0eJycnpaMIIYqZ0qVLA5CZ/AC1FN0GozaxIP7+baVjCCFEgZKKoYRQqVSo1WqS/9nj+I8//uDhw4ecPn06RwEcEhLCgAEDuHv3Lvb29uh0OoYMGUKrVq0YMmQIvXv3pnr16kycOJFp06Y9sa22bdty/vz5HMeGDBmCl5cX48aNe+q868aNG/P777/nOLZjxw7q16+PsfHjq4T7+/tjb29Pjx49uHfvHpC1ndmj/2ZmZj7166FWq3n33Xef+vj/p9PpSE5OJiEhAVtbWwCSEhOxl+HlBpXyz/f3eYv4CSHEi7KysgJAn5ascJKSRW1izoM46ekWQhRvUnQXU6mpqdm9xvfu3WPOnDkkJCTQvXt3IKtg7dq1K7Vq1cpxXbVq1Rg9ejTLli1j1KhRzJ49m/Pnz/P3338DYG1tzaJFi+jatSuvvvrqE4eZW1lZUb169RzHLC0tsbe3z3H8k08+ITo6mqVLlwIwfPhw5syZw4cffsiwYcM4cuQI/v7+rFy58rE2bt++zTfffMOhQ4eArCLM29ubWbNm0aFDB3bt2sWnn36a1y/fY9RqNZaWllhaWmYfS0lJQWMmRbchpaRnAFn/HwohRH569HtFl5qkcJKSRSVbhgkhSgBZSK2Y2rZtG05OTjg5OdGwYUOOHz/OmjVraNWqFbdu3WLr1q307t37setUKhWvvvoq/v7+hIaG8tlnnzFnzpwcw3k7dOjAkCFD8PX1JTU1Nc8Zb968mWPfcHd3d/744w/27t1L7dq1mTRpEj/++OMTc44aNYqPPvoox9zewMBAVq1aRbdu3Rg7duwz553nh+SUFIylp9ugpOgWQhSU7KJberoNSm1iTmKCFN1CiOJNpZdlOos0lUolK62+gPz8etna2tDUpRxtvCvly/3E8529fpNfj5wiLi5OhpgLIfJVUlISlpaWOHT/CMuqrZSOU2I8PLuDuG0/kpGRYdBtP4UoqlJSUrh27Rru7u6PLVgcGRlJbGysQXI4ODjInuA8+/vxXzK8XIg8SklJxdhIBosYUto/8/T/O8xfCCHyg7m5OWojIxlebmAqo6yXolJ0C/FyIiMj8fbyJinZML/DLMwtCA4JfqHC29fXl/v377Nx40Yga7vgyZMns3XrVqKjoyldujS1a9dm9OjRtG3bFgA3NzdGjx7N6NGjC+BZGI4U3ULkgV6vJzU1VYaXG1hGZiZqtfqJC+sJIcTLUKlUWFpqZXi5EKJIio2NJSk5iR+7fY6HvWuBtnXlbgTvb/mG2NjYPPd2h4eH07RpU2xtbZk+fTo1a9YkPT2d7du3M2LECEJCQvI5tbKk6BYiDx7NZZeebsNKz9RhZmr62H7uQgiRH8wtLElNS1E6hhBC5JmHvSs1ylZROsZzvfvuu6hUKoKCgnKMYKxWrRp+fn4KJisYUjEIkQfZ88Kl9jOo9MzMp+4PL4QQL0utlpdFQghR0OLi4ti2bRsjRox44pTBR9vzFify10WIPHg0vFmnk0XsDEmn06PRyAAdIYQQQoii6sqVK+j1ery8vJSOYjBSdAuRB48We9HJyvEGpVaryMjIUDqGEEIIIYTIo0cjRkvSdEEpuos4V1dXVCqVfOTyw9U1fxaWUKlUaDRGZEpPt0EZqVRk/rOCuRBCCCGEKHoqV66MSqUiODhY6SgGI0V3ERceHo5er5ePXH6Eh4fn29feyEiDTq/Lt/uJ51Or1aRnpCsdQwghhBBC5JGdnR0dO3Zk7ty5JCYmPvb4/fv3DR+qgEnRLUQeGWs00tNtYGqViswM6ekWQgjxdG5uboqPrCsqH25ubkp/u0QJNW/ePDIzM/Hx8WHdunVcvnyZ4OBgfvzxRxo3bqx0vHwnKxIJkUdGGiOZ021gRmoVGTK8XAhRQLLmGcrv9aIuIiLi311GxDOpVCVnTm1JceVuRKFtQ6fTZS+I6+7uzqlTp5g8eTJjxozh5s2bODo6Uq9ePebPn5+fcQsFKbqFyCNjjTGZOhlebkhqlQqdTodOp5OtfYQQ+S4lJRmVxkTpGEII8cIcHBywMLfg/S3fGKQ9C3MLHBwcXuia27dv4+Hhkf25k5MTc+bMYc6cOU+9Jj+nhipJim4h8kij0UhPt4EZ/VNoZ2RkYGIiL4yFEPkrJTkZC2NTpWMIIcQLc3FxITgkmNjYWIO05+DggIuLS67OvXfvHocPH2bv3r0MHz68gJMVTlJ0C5FHMqfb8NT/DINLT0+XolsIka90Oh2pKclYGpsrHaVk0WVNGXq0FacQIu9cXFxyXQgbkp+fH8ePH2fMmDH07NlT6TiKkKJbiDySnm7DM/1nHlBCQgKWlpYKpxFCFCePVtBVS0+3QenSUzA2Nsme5ymEKH42bNigdATFyaRIIfJIY2yMTuZ0G5SFiTEAcXFxCicRQhQ38fHxAKjNtAonKVn06amYW1gUeDu+vr7ZK3YbGxtTsWJFPvrooxzbFa1bt46GDRtiY2ODlZUV1apVY8yYMU+8X4cOHTAyMuLo0aO5al+v1zNjxgw8PT0xNTWlQoUKTJky5ann792796krjh8/fhzI+lvYvXt3tFotdevW5ezZsznu8e677zJz5sxc5RNCFCx5W1GIPDLWaMjMzFA6RoliLkW3EKKAPNoXVm0qo2gMSZ+egrmFYb7mnTp1IiAggPT0dA4cOMDQoUNJTExk/vz57Ny5k/79+zNlyhR69OiBSqXi4sWL7Nq167H7REZGcuTIEd577z38/f1p1KjRc9seNWoUO3bsYMaMGdSoUYP4+Phnzr1t0qQJN2/ezHHsiy++YOfOndSvXx+AyZMn8/DhQ06dOsX8+fMZOnRodkF+5MgRgoKC+Omnn17kSySEKCBSdAuRRxpjY3TpyUrHKPaS0tKIfZjI3YQkbsY/BKToFkLkv+yebim6DUqXnoKlZcH3dAOYmppStmxZAN544w327NnDxo0bmT9/Plu2bKFZs2aMHTs2+3xPT09eeeWVx+4TEBBAt27deOedd/Dx8WHWrFnPnPIUHBzM/PnzuXDhAlWqVMlVVhMTk+yskLWWyebNm3nvvfeyt/kKDg6mf//+eHp68vbbb7NgwYLsc9955x0WLVokc+WFKCSk6BYij0xNTclIkOHlL0Kn03EvKYXYhETiEpO4l5jMg+QUHqakkpiWRlJaOmkZmWTqIVOvIyNT98Qh/KGhoQqkF0IUZ7dv3wZAbW6lcJKSRZ+egtYya0h/dHQ0V69exdraGisrK6ysrLC2tsbU1LRA9pM2NzcnPT0dgLJly7JixQouXLhA9erVn55XrycgIIC5c+fi5eWFp6cnv/32G0OGDHnqNb///jsVK1Zky5YtdOrUCb1eT7t27Zg+fTp2dna5yrp582ZiY2Px9fXNPlarVi12797N0KFD2b59OzVr1gTg22+/pVWrVtk94kII5UnRLUQe2ZYqRUxMlNIxFJWSnkFsQiJ3ExKJS0zmflIKD1JSSExJIzEtjZT0DNJ1OnR6PRmZOjIzM3nS0nMWZmbYaC0pW8YOO2srbLVabK202Pzz338/t8Rv0nQyMzMN/lyFEMVbdHQ0aiMNagtrpaOUKPq0FKzssorut99+mz/++OOxczQaTY4i/NG/H33u5ubGJ598grGxca7bDQoKYsWKFbRt2xaAkSNHcuDAAWrUqIGrqyuNGjWiQ4cODBgwAFPTfxfX27lzJ0lJSXTs2BGAgQMH4u/v/8yiOywsjIiICNasWcPSpUvJzMzkgw8+oE+fPuzevTtXef39/enYsSMVKlTIPjZ+/HjeeecdKlWqhJubG/7+/ly+fJmlS5dy5MgRhg8fzo4dO6hfvz4LFy7ExsYm118fIUT+kqJbiDyyt7cnPL34FH86nY745BRiHyYSl5RM3H97oVPTSEpPJzU9I7sXOjNTR+YTeqGNjNRYWVhQysqK8tZW2FpbUUqrxeaf4tnGyjK7iLbVarG2tESjyf3wN3tbG27dupWfT10IIbhx4wYm1g6oVLLGrCHpUhOxt3MCYO3atURGRvLw4UMePHjAw4cPsz/++/l//33jxg3Cw8MZO3bsc4vuLVu2oNVqycjIID09nZ49e2bPeba0tGTr1q1cvXqVPXv2cPToUcaMGcPs2bM5cuQIFv8s9ubv789rr72Wvdr666+/ztixY7l06dJTh47rdDpSU1NZunQpnp6e2fepV6/eM697JCoqiu3bt/Pbb7/lOG5jY8OKFStyHGvTpg3fffcdy5cvJywsjEuXLjFs2DC+/vprWVRNCAVJ0S1EHtnZ2ZGcUXgXUkvLyODOP3Oh7yUlZfVCJ6eQkJpGYlo6KWnppP3TC52p05GRmcmTdkAzNzXFRmuJo4MtdjZWlLKywkZr+f96oB8V0ZZYmJkVyDDAR0pZaYmJiSmw+wshSqbo6GjU2twN9RX5R5WelN0Da25unus5z3nRunVr5s+fj7GxMeXKlXtikV6pUiUqVarE0KFD+eyzz/D09GT16tUMGTKEuLg4Nm7cSHp6OvPnz8++JjMzk8WLF/Ptt98+sV0nJyc0Gk12wQ3g7e0NZC3K9rznHBAQgL29PT169HjmeYsXL8bW1paePXvy6quv8sorr2BsbEzfvn2ZMGHCM68VxUNkZOQzF+jLTw4ODoVyT/DCSopuIfLIzs6O5LR0g7Sl0+l4mJLGnYRE4v4pouOTU3mYklVEJ6elk5KegQ7I0D2jF1qd1QttY6XFqawVdtZW2QVzViFthe0/BbWNNuuYcSHbO9XOyoobN24oHUMIUcxcj4oCCym6DS4tCVtbW4M0ZWlpiYeHR67Pd3Nzw8LCIntbseXLl1O+fHk2btyY47xdu3YxdepUJk+e/MT9xps2bUpGRgZXr16lUqVKwL9rk7i6uj4zw6M55IMGDXpmT/6dO3eYNGkSBw8eBLLeCHg0Xz09PV2mZZUAkZGReHt7k5SUZJD2LCwsCA4OfqHC+/bt23zxxRf8+eef3Lp1i1KlSlGrVi2+/PJLGjdujJubGxEREY9dN3XqVMaPH094eDju7u5PvPeRI0dytZOAUgrXq2khipBSpUqRmJqWp2vTMjK4m5DE3cQk7iYkEZ+c8s9Q7jSS0tJITs8gPTOTTL2eTJ3+n17ox7uhzUxMsNZaYu/ggJ2VFaWstNj+pyf6/8+JtjQv2F5oQyjnaM/+CyFKxxBCFDOR16MwsvFWOkaJo0tJNFjR/SxffvklSUlJdOnSBVdXV+7fv8+PP/5Ieno67du3B7KGhPfp0+exhdZcXV0ZN24cW7dupWfPno/du127dtStWxc/Pz9mzZqFTqdjxIgRtG/fPrv3OygoiEGDBrFr1y6cnZ2zr929ezfXrl3jrbfeemb+UaNGMWbMmOxrmzZtyq+//kqHDh1YsGABTZs2famvjyj8YmNjSUpKYvHYqXhVeHJhml9Crl/D77tPiI2NfaGiu3fv3qSnp7NkyRIqVqzIrVu32LVrV45dab7++muGDRuW4zorq5wLXO7cuZNq1arlOGZvb5+HZ2I4UnQLkUd2dnakpKWRnpFJckZ69rZW95KSiX80Fzola0XulIwMMnV6MvVZBfSTeqHVKhVaCwtsrbSULvNvL3RWIf1vT7SN1pJSVllzoU1eYNGY4qJ8aUeuR+0kNTU1x+I2QgjxMm7evIGJsxQmhpaRklAoFvhq2bIlc+fOZdCgQdk9cHXq1GHHjh1UqVKFkydPcvbsWRYuXPjYtVZWVnTo0AF/f/8nFt1qtZrff/+dkSNH0qJFCywtLencuXOOOdZJSUlcunQpu3f6EX9/f5o0aZI9HP1Jtm/fztWrV1m2bFn2sffee48TJ07QsGFDfHx8mDhxYl6+LKII8qrgTh2PqkrHeMz9+/c5ePAge/fupWXLlkDWG1Y+Pj45zrOyssqxXd6T2NvbP/ecwkaKbiHyyNjYGI2Rmk83bH9iL7SpiTHWlpaUsvtnRW6rf+c/l7LKORfaRqvFysK8yPdCG4JzaUf0ej1hYWHPfBEihBC5df/+fZISErCwclA6Somiz8wgIyWJUqVKFXhbgYGBz3y8devWtG7d+qmP16tX74l/6x/ZvHnzM+9frlw51q1b99THW7Vq9cT7//+F0p6kY8eO2aupP2JhYfHYwmtCKEmr1aLVatm4cSONGjUqcR0nUnQLkUdubm5kZOp4o1M7Klco/89c6KyeaBsrLaYlsBfaECqUcQTgypUrUnQLIfJFSEjWlBVj+/IKJylZMhOzhpSWK1dO4SRCiIKm0WgIDAxk2LBh/Pzzz9StW5eWLVvSv3//7D3mAcaNG8fnn3+e49otW7bQqlWr7M+bNGmCWp1zp4n4+HiMjHK/G46hSdEtRB45OWVtcdKgqhcNqnopnKbksLexwczUhCtXrigdRQhRTDwqujV2zs85U+SnzId3AXLMYRZCFF+9e/ema9euHDhwgCNHjrBt2zamT5/OokWL8PX1BWDs2LHZ/37k//+OWL169WMdL4W54AYpuoXIszJlygBw78FDhZOULCqVivKlS0vRLYTINyEhIZiVKoPa2EzpKCVKhhTdQpQ4ZmZmtG/fnvbt2zNhwgSGDh3KxIkTswttBweH5+4yUKFChRfaiaAwUD//FCHEk1haWmJpYcHd+AdKRylxyjnac/nyZaVjCCGKiYsXg1GXkqHlhpaZcBcTE1ODzOkWQhROVatWzd6WrziTnm4hXkKZMmWkp1sB5R0dORwSqnQMIUQxceFiMEZ2hW+13+Iu8+Fdyjg5ySKiQpQAd+/epW/fvvj5+VGzZk2srKw4ceIE06dPz7Hq/8OHD4mJiclxrYWFBdbW1jnu9f/PsbW1xcys8I5WkqJbiJdQpkwZ4h5IT7ehuZcry4rtO3nw4EGOX8JCCPGi0tLSiAgPw9aj4/NPFvkqMyGOCuVlhIEQ+Snk+rVC2YZWq6Vhw4b88MMPXL16lfT0dCpUqMCwYcP49NNPs8+bMGECEyZMyHHt//73P37++efsz9u1a/fY/VeuXEn//v1fOJehSNEtxEso6+REdGiI0jFKnMouFQA4e/YszZs3VziNEKIoCw0NRZeZKSuXK0CfGIdLzfwfYeDq6iq957nk6uqqdASRTxwcHLCwsMDvu08M0p6FhQUODrnfZtHU1JSpU6cyderUp54THh7+zHu4ubk9c+u+wkyKbiFegqurKyePHlE6Ronj5lQWE2NjTp8+LUW3EOKlnDhxAlQqTEpXVDpKiaNPjCuQRdSe98JdiOLIxcWF4OBgYmNjDdKeg4MDLi4uBmmrOJCiW4iX4OHhwY07sWRkZqIp5FsVFCcajRGVyjtz+vRppaMIIYq4oKAgzB1dUJtaKB2lRNHr9aQ9iJWVy4XIRy4uLlIIF1KyerkQL8HDw4OMjAxux91TOkqJ4+nizPGgIKVjCCGKuENHjqIuXVnpGCWOPjWRzLQUypUrp3QUIYQocFJ0C/ESHu0RGH37jsJJSp6q7m5cDA7m4UNZPV4IkTfJycn8feE8puU8lY5S4sge3UKIkkSKbiFegqurKxqNhqjbhpk/I/7l7Z61mMaJEyeUjiKEKKJOnz5NZkYGJk5SdBta5sOsv5tSdAshSgIpuoV4CRqNBjdXV6Kkp9vgXJ3KYGluTpAMMRdC5FFQUBBGxqaYOLopHaXESY+LxsTEVOafCiFKBCm6hXhJHpUrE31Him5DM1KrqVrRjX379ikdRQhRRB07dgzTspVQGcm6soaWHhdFJY/KGMkipEKIEkCKbiFeUuXKlYmOjVM6RolUz8uT/fv2kZaWpnQUIUQRo9fr2bVnLxonL6WjlEi6uCiqV/NWOoYQQhiEFN1CvCQPDw+ib91Gp9MpHaXEqe9dhcSkJI4dO6Z0FCFEERMSEsKdWzGYudZSOkqJlHkvCm9vKbqFECWDjKcS4iV5eHiQlp7OnfvxlLErpXScEsXTpTw2Vlp27txJ8+bNlY4jhChCdu7cCSo1Js5S+BmaLiWB1AdxeHnJKAMh8lNkZCSxsYZZ3NfBwUHWZHgBUnQL8ZIqV87a3zX69h0pug1MrVZTt0pl/tqxg6+++krpOEKIIiQwMBD0OqJ/6o9a64CZa22sanfG1En27C5o6XevA0hPtxD5KDIyEi8vL5KTkw3Snrm5OSEhIS9UePv6+nL//n02btyIr68vS5YsAbIWJq5QoQKvvvoqX331FZaWloSHh+Pu7o6RkRERERE5djq4efMmFSpUIDMzk2vXruHm5pbfTy/fSdEtxEtydXXFyMiIqNt3qOsl284YWn3vKny/Yg3x8fHY2NgoHUcIUQSkp6cTEhqCbVNbNDYaEs4/IPHcDhLP7UBtYoyRbXnMK/lgVacLGit7peMWO+l3o1CpVHh6yt9MIfJLbGwsycnJ9OrVC0dHxwJt686dO2zYsIHY2NiX6u3u1KkTAQEBpKenc+DAAYYOHUpiYiLz58/PPqdcuXIsXbqUTz75JPvYkiVLcHZ2JjIy8qWehyFJ0S3ESzIxMcGlQgWibskK5kqoX9WLzMxM9u3bR48ePZSOI4QoAo4cOUJSQhJO7Z0wdzOHfpDxMIPE4EQSLiSQcD6KB0eu8eDIatRm5hg7VsLCuwXaam1Qm5gpHb/IS797HefyLlhYWCgdRYhix9HREScnJ6Vj5IqpqSlly5YF4I033mDPnj1s3LgxR9E9ePBgAgICchTdgYGBDB48mEmTJhk8c17JQmpC5AOPypW5Lnt1K8LZ0QHn0o5Z8zOFECIXtm3bhqmNKWYu/xbQGisNNj42OPs54/m9J5W/rUy5QeXQVjMm/c5F7u2Yx/XZfYiaO5DbG6aSdOW4LKCZRxlxUVStKvO5hRA5mZubk56enuNYjx49uHfvHgcPHgTg4MGDxMXF0b17dyUi5pn0dBcDbm5uREREKB2jSHB1dSU8PDzf71ujRg1WL1+W7/cVuVPf25OtW7Ywe/ZsVCqV0nGEEIXclj+2YF7VHJX6yb8vVCoVpmVMMS1jil0bO/Q6PcnhySRcSCDx70QSLx8iOfQQKo0aI20ZzNzrYFWnCyaOboZ9IkWU/n401ao2VTqGEKIQCQoKYsWKFbRt2zbHcWNjYwYOHMjixYtp1qwZixcvZuDAgRgbGyuUNG+k6C4GIiIi0Ov1SscoEgqqIKtTpw7ff/89D5OSsJLhcgbXvE4tNu07xPnz56lZs6bScYQQhVhUVBTnz56n/P/K5/oalVqFRUULLCpaQA/QpepIvJRIwt8JJJyPI+H0HySc/gO1iQlGpVyw8GyEtlZnNJayzsT/p89IJ+XuTVm5XAjBli1b0Gq1ZGRkkJ6eTs+ePfnpp58eO++tt96icePGTJkyhTVr1nDkyBEyMjIUSJx3UnQLkQ/q1q0LwOXIKFlMTQH1vDyxsrRg/fr1UnQLIZ5p7dq1GBkbYVXbKs/3UJuqsapphVVNK3gd0u+nk3jxUREeTvyBK8QfXIbazBKT0pWxqNoSy6otUWtM8vGZFE3p96LR63WycrkQgtatWzN//nyMjY0pV67cU3uvq1evjpeXF6+//jre3t5Ur16dM2fOGDbsS5KiW4h8UKVKFczNzAiNvC5FtwKMNRpqVqrIiuXL+fLLL5WOI4QoxFauXolldUuMzI3y7Z7GtsbYNrHFtokter2e1JupJP79TxF+8SwpEWeI2/4jRpalMC1fHW2tDpi51CqR02HSbl5GpVJRq1YtpaMIIRRmaWmJh4dHrs718/Pj3XffzbHIWlEiRbcQ+cDIyIgaNWtwOTJK6SglyvkrYfz6xw7Ohl4lMSVrX8rg4GDpQRFCPFFkZCRBR4Mo/3buh5a/KJVKhVk5M8zKmWHf3h59hp6ka0lZ88EvJJIUsp+k4P2ojI0wsnLCvGI9tHW6YGLn/PybFwOpN0Op7OmFtbW10lGEEEXIsGHD6Nu3L7a2tkpHyRMpuoXIJ3Xr1mPHlt+VjlHsnbt8lV//3MG50DASU5IxVmtoXakRXTxb8vmuWfz2229MnDhR6ZhCiEIoe2h5nbwPLX9RKo0Ky8qWWFa2hF6QmZxJYsijoei3eXhiEw9PbEJtaorGzg2LKk2wqtURtZnWYBkNSXf7Ck06yCJqQhSUO3cKfjedvLah0+nQaPJWfmo0GhwcHPJ0bWEgRXcx9LzhaoMHDyYwMBCAPXv2MHPmTI4dO8bDhw9xdnamfv36jBgxAhcXF9zd3Z95r4kTJz5xOO+XX37JqlWruH79OiYmJtSrV4/JkyfTsGHDZ95v1qxZzJ8/n8jISBwcHOjTpw9Tp07FzCxrW5fly5czfvx4EhMTeeutt/juu++yrw0PD6dDhw6cOHHCIO+gx8XFcfLkScLCwhgwYAB169ZlwYIFJKemYm5qWuDtlyRnQq+w/M+/OHf530K7TaXGdPNqTbtKTdCaZi1edzDiBKtWrGTChAklctimEOLZlq1YhmWN/B1a/qKMzI2wrmONdZ2sv1PpcelZBfjfCSRcuML9vZe4vy8AtbkVJmWroK3WGnOvpqjVRf8lmy49leRbYTRs+KHSUYQodhwcHDA3N2fDhg0Gac/c3PyFi+Dbt29nDyd/VIs8jZub2zMXiq5du3aRWki66P8GF4+5efNm9r9Xr17NhAkTuHTpUvYxc3NzAObNm8d7773Hm2++yerVq3F3d+fmzZscP36cDz74gKCgoBz3mjFjBtu2bcuxH7JW++R34j09PZkzZw4VK1YkOTmZH374gQ4dOnDlyhUcHR2feM2jgnrx4sU0adKE0NBQfH19Afjhhx+IjY1l6NChBAYGUrFiRbp27UqrVq3o2rUrAO+88w7Tpk0rkIL7/v37nDp1ihMnTmR/XLt2DQB7e3vatWtHgwYN0Ol0hEZGUatypXzPUNKcuXSZZX/+xfkr17IKbSMNbSo+Xmj/V3evNqxdO45z587JfEEhRA4hISGcPnmaCiMqKB0lB2M7Y0o1L0Wp5qWy5oNHpf5TgCeQGHKSlLATqP6YgdrSHjOXWmhrdcKsfNGcQpN2Kwx9ZiY+Pj5KRxGi2HFxcSEkJITY2FiDtOfg4ICLi0uuzr137x6HDx9m7969DB8+vICTFU5SdBdDZcuWzf63jY0NKpUqxzHImtc2evRoRo8ezffff5993N3dnSZNmvD+++8/dp1Wq0Wj0Tx2ryd54403cnz+/fff4+/vz7lz5x7bf++RI0eO0LRp0+xr3dzceP311wkKCgIgLCwMGxsbXnvtNSBrxcOLFy/StWtXVqxYgYmJCa+++upzsz3Pw4cPOX36dI4C+/Lly0DWgg/16tWjV69e1K9fn/r161OpUiXUajUZGRmYm5lxMSxciu48OnUplOV/7uT85TCSUlMwNjKmbaVGdKvShnYejbE0efZ2bM3c6mNnacuSJUty/H8thBDLli3D2NIYq1qGG1r+olQqFWYVzDCrYIZDJwd06TqSriRlLcp2IYHEv3eReGEXKmMNGptymFdqgFWdLmhsyigdPVfSboZiYmpGjRo1lI4iRLHk4uKS60LYkPz8/Dh+/DhjxoyhZ8+eSsdRhBTdJdS6detIT0/n448/fuLj+Tk0Ny0tjQULFmBjY/PM3sdmzZqxbNkygoKC8PHxISwsjD/++IPBgwcDULlyZZKSkjh9+jSurq4cP34cPz8/4uLimDBhAnv27HnhbElJSZw5cyZHgR0SEoJer8fc3Jw6derQuXNnvvjiC+rXr4+npydGRk8elqjRaKhbrx4Xr4W/cI6S7GTwJZZv28mFK9dISk3BxMiYtv8MHW9b6fmF9n+ZGBnTp2pHlgYuYcqUKdnTEoQQJZtOp2PJr0vQ1teiNlErHSfX1MZqtN5atN5ayvQpQ2ZiJgkXE0i8mMjDczd5cGwdD46tQ21qhrFDRSy8mqGt2Q71C/zeNKS0m5eoU6fOU7cFEkIUT4Ya8l6YSdFdQoWGhmJtbZ2j13rdunXZBS5k9Ty/zLvRW7ZsoX///iQlJeHk5MRff/31zLkf/fv3586dOzRr1gy9Xk9GRgbvvPMO48ePB6BUqVIsWbKEQYMGkZyczKBBg+jYsSN+fn6MHDmSa9eu0aNHD9LT0/nyyy/p06fPU9tKSUmhffv2HD58GJ1Oh4mJCbVr16Z169aMHTuW+vXr4+3t/cKLPTRq1IjlSwJf6JqS6EmFdjuPJnSrklVoW5iY5/neb9TqzoLjq1m/fv1jIy6EECXToUOHiIqMwn3As9cpKeyMLI2waWCDTQMbANLupP07H/zvEO7tusi9PQtQm9tgWs4by+ptMPdohFpdON5oyLx1hcYd+ykdQwghDE6K7hLs//dmd+zYkTNnzhAdHU2rVq3IzMx8qfu3bt2aM2fOEBsby8KFC+nXrx/Hjh2jdOnSTzx/7969TJ48mXnz5tGwYUOuXLnCqFGjcHJy4osvvgCgV69e9OrVK8c158+fZ86cOXh4eLBy5UrKli2Lj48PLVq0eGpbpqamdOnShUGDBlG/fn2qVauGiYnJSz1fgIYNGzJz5kzuxj/A3ka2Q/mv43+HsGL7Tv6+Gk5SagqmRiZZhbZXa9pUbPRShfZ/VbJ3obFrHRb8/IsU3UIIAH5Z8AvmZcyxqFw4e4DzysTRBLtWdti1skOv05MSmZI9Hzwp9BjJl4+i0qgxsnTEzK022tqdMS2buz1x81tmUjwpcTeeu6CqEEIUR1J0l1CVK1cmPj6emJiY7N5urVaLh4dHnpfy//8ebXjv4eFBo0aNqFy5Mv7+/nzyySdPPP+LL77gzTffZOjQoQDUqFGDxMRE3n77bT777LPH3qlPTU3l3XffZdmyZVy5coWMjAxatmwJZC3kduzYMbp37/7EtlQq1VNzvIxHi8MEXwunWe2a+X7/oibo72BWbN/JxasR/ym0m9LdqzWtKzbMt0L7/3ujZndG/v41ly5dokqVKgXShhCiaLh9+za//fYb9r3sUamL764GKrUKczdzzN3McezqiC5NR1Jo0j9FeDwJZ7eTcHY7ahNjjGzLY+7REKvandFY2RskX9rNUABZRE0IUSJJ0V1C9enTh/Hjx/Ptt9/yww8/GKRNvV5PamrqUx9PSkp6rLA2MjJCr9c/cUuASZMm0blzZ+rWrcvp06fJyMjIfiw9Pf2le+rzwsXFhTKlS3P+yrUSW3QfPf83K3fs5uLVcJLTUjHVmNA+u9BuhLlxwc+z7uTZHDtLWxYuXMiMGTMKvD0hROG1aNEidOiwbW6rdBSDUpuo0VbXoq2uhdcg40EGicFZ+4M/PHedB4ev8eDwKtRmFhiX9sDCqznaGm1Ra15+1NeTpN4MxdbO/rlbkQohRHEkRXcJ5eLiwsyZMxk1ahRxcXH4+vri7u5OXFwcy5YtA3jqgmHPk5iYyOTJk+nRowdOTk7cvXuXefPmERUVRd++fbPPGzRoEM7OzkydOhWA7t278/3331OnTp3s4eVffPEFPXr0eCzL33//zerVqzlz5gwAXl5eqNVq/P39KVu2LCEhITRo0CBP+V+GSqWiTdu2nD52xOBtK+nI+b9ZtX0XF8MiSE5LxUxjQgePZnTzak2rig0NUmj/l5nGlN5VOxC4OIDJkydjKvumC1EiZWRkMHf+XKwbWqPRluyXPBprDTYNbbBpaINeryftVtZ88MS/E0n4+wL3Is9xb+c8jCxsMXGuilWN9pi61823+eDpN0Np0dAnXxdqFUKIoqJk/wUq4UaOHIm3tzfff/89ffr04cGDB9jb29O4cWO2bduW50XUjIyMCAkJYcmSJcTGxmJvb0+DBg04cOAA1apVyz4vMjIyxx/zzz//HJVKxeeff050dDSOjo50796dyZMn57i/Xq/n7bff5ocffsDS0hLI2ns8MDCQESNGkJqaypw5c3B2ds5T/pfVrl07Vq1axYOERKy1lopkMITDZy+w6q/dBGcX2qZ0qPxPoe3eEHNjZQvdN2p1Z+Hx31i3bp3M7RaihPL39+dG1A0cajmgS9MVqZXLC5JKpcK0rCmmZU2xb2uPPlNP8rVkEi4mkHA+gaTLh0i+dChrPrhVWczd66Ct3QUTR9c8tafPzCAt+iKt3u77/JOFEKIYUumfNG5XFCkqleqJw6/F4wzxtYqMjMTV1ZVv3nmLVvXqFGhbhnbozHlW/bWbkGuR2YV2x8rN6ebVmpbuPooX2v9f/9UfkGoHQSeOS++KECVQ0yaNCToeREaGDiMLNXZt7LFra4dxKdmy6lkyUzJJuvTPfPDzCaTezJoapjYxQWPngnnlxmhrd0JjYZOr+6VEXeTW8o8JCgpSZBSaEMVJSkoK165dw93d/bGtUSMjI4mNjTVIDgcHh0K5J7ihPev78V9SdBcDUnTnnqG+Vp6VK1PNuSwfvdm/wNsqaAfOnGP1jt2EhF8nJS0Vc2MzOv7To93S3QczTeEqtP9rT9gxBq0Zy549e2jVqpXScYQQBhQUFETDhg1ZP7EX1hamfLRgN2ev3UYP2NS3wb6DPeaVzOUNuVxIv59O4sWs+eAJ5xLIeJgBKlCbaTEpUxnLqq2w8G7+1Png9w+tJPPs79y/F5fnqWtCiCxPK/IiIyPx9vYmKSnJIDksLCwIDg7OVeH9vN+zgwcPJjAwMPu8I0eO0KhRo+zHU1NTKVeuHHFxcY+9ptuyZQszZszg5MmTZGZmUq1aNUaMGIGvr2+enteLym3RLcPLhSgA7Tt04Pf165SOkWf7T5/jt792E3LtOinpqVgYm9G5cgu6ebWmhXuDQl1o/1crdx+8y1Tiu+nTpegWooSZOWMGlZzt6dG4MkZGak7/7EfUnQeMmreT34OuEh8Uj7mrOfYd7bH2sUatkaHnT2Nsa4xtE1tsm9hmLYp6I/Xf+eDBZ0gJP83d7bMwsrDDtEINtLU6Yu7y7xS19Ovnade6lRTcQhSg2NhYkpKS+PLLL3FzcyvQtsLDw/nyyy+JjY3NVdF98+bN7H+vXr2aCRMmcOnSpexj5ub/7mZToUIFAgICchTdGzZsQKvVEhcXl+O+P/30E6NHj2bcuHHMmzcPExMTNm3axPDhw7lw4UKhWkxXim4hCkC7du2YN28eN2Pv4uRgmO1YXoZer+fA6XP8tnNPjkK7i2fLrELbrQGmBbSibUFSqVS8Xf81Ptg6hfPnz+d5nQIhRNESHh7O2nXr+PHdthgZ/VtMl3e0Zt3EV8nI0DFp+SHmbD5F1IIoNCs12LWzw661HRpreWn0LCqVCjNnM8yczXDo4IA+Q09S2L9D0ZOC95J0cS8qYyOMrJwwd69LctRF2n74ltLRhSgR3NzcCt12qY+2JwawsbFBpVLlOPZfgwcP5scff2TWrFnZxfjizAlvVQAA0yJJREFUxYsZPHgwkyZNyj7v+vXrjBkzhtGjRzNlypTs42PGjMHExIT333+fvn370rBhwwJ6Vi9G3tYVogC0atUKtVrNiYuXnn+yQnQ6HftOnWHEtz/Q/t2P+HTeQi5fi6arZysCek/j3PtbmN3tc9p7NC2SBfcjPb3bUb6UE1OnTFU6ihDCQGbPno2N1gzfDk9+o02jUfPV4ObcXTeKTV/3pnIpG25vvE3IByFELYwiOSLZwImLLpVGhaWnJWV6laHShEp4z/XG5X0XSrWwQa25zcOTm4FMGW0khMiVevXq4e7uzrp1WSNGr1+/zv79+3nzzTdznLd27VrS09P56KOPHrvH//73P7RaLStXrjRI5tyQt3OFKAClSpWiXr26nAi+RPcWTZSOky2r0D7Lml17CQ2/Tkp6GpbG5nT1bEV37zY0c61XpAvsJzE20jC8fn8m/Dabryd9jYeHh9KRhBAF6NatWyxY8AsfvFIHS/Pn/z7r0bgyPRpX5mr0Pd6ft5PtQde4f+g+FpUtsO9gj3Vda1RGMu87t4wsjLCua411XWsAbvx6A84iI42EELk2ZMgQFi9ezMCBAwkICKBLly44OjrmOCc0NBQbGxucnJweu97ExISKFSsSGhpqqMjPJUV3MeDq6ioLweSSq2vetjvJiw4dOjL3px/R6XT5ts9pXuh0OvaePMOaXXu5HBGVVWibWNCtShu6ebUuloX2//dazS78eHQpU6dOxd/fX+k4QogCNGXKFIzV8GHvF1slu5JzKbZO7ktKWgZfBO5jwZ/nuD73OppSGuzb21OqRakSv9d3XqSGptKvez95nSKEyLWBAwcyfvx4wsLCCAwM5Mcff3zhe+j1+kL1e0f+ehQD4eHhSkcQT9CuXTsmT57MlahoPF0qGLRtnU7HnpOnWbtzH6GRUaT+U2h3f1Rou9XHxKjkbJljpjHl7fqvMW3pAj799FMqVaqkdCQhRAGIjIzk55/n88UbjbCzNn/+BU9gZqLhu7fb8t3bbVm552++CDzA1TW3uL3+NrbNbLFvb4+Z89NXqBX/So9LJ/F6Ip06dVI6ihCiCLG3t6dbt2689dZbpKSk0LlzZx4+fJjjHE9PT+Lj47lx4wblypXL8VhaWhphYWG0adPGkLGfSYpuIQpI48aNMTcz48TFSwYpunU6HbuPn2Lt7n1cjowmNT0NrYkFPb3a0a1KK5q61StRhfb/N6hOL/xPreWzTz9j1epVSscRQhSASV9/jbWFCaN61c+X+73euhqvt67GhfA7jJq7k70HI7m39x7aqpbYdbDHqqYVKnXh6UkpbB6ef4haraZdu3ZKRxFCFDF+fn506dKFcePGPXHng969e/Pxxx8zc+ZMZs6cmeOxn3/+mcTERF5//XVDxX0uKbqFKCCmpqY0b9GCE8GhvNGpYF5w6HQ6dh0/ydpd+7kSGU1qRlah/YpXO7r+M3Tc2Eh+zAHMjU35sMkQxv72LWM+GkODBi829FQIUbhdvnyZgMBApg9tiZVF/m5rWN3NkV3fvU5CUhofL9rDkp0XiJwViYmDCfYd7bFtZouRuWyH9f8lnk+kvk997OzslI4ihChiOnXqxJ07d7C2tn7i4y4uLkyfPp2PPvoIMzMz3nzzTYyNjdm0aROffvopY8aMKTQrl4MU3UIUqPbt2/P5Z5+Rmp6OqXH+9DLrdDr+CjrJ+t37uBJ5g9SMNKxMLelVtT1dq7SmqWtdKbSfom/1Tiw6uYZxH3/Mrt27C9VcHyHEy5nwxReUKWXJO93rFFgbWgsT5r3fkbkjO7Doz7N8s/wwkStuErMmBruWdti1t8O0dP4W/EWVPkNP0sUkuo7rqnQUIUoUQ0w7NUQbKpUKBweHZ57zwQcfUKlSJWbMmMHs2bPJzMykWrVqzJ8/nyFDhhR4xheh0uv1eqVDCFFcXbhwgRo1avDd++/QuGa1PN9Hp9Ox4+hx1u85wNXr0aRmpGNtqqVrlVZ09WpFExcptHNr55XDDFk3nj/++IPOnTsrHUcIkQ+OHTtGo0aNWPRhZ97qXMugbZ8IvcmouTs5cukG+kw9VrWssO9gj2VVyxL9xl5iaCLXplzj2LFj+Pj4KB1HiGIjJSWFa9eu4e7ujpnZv+tLREZG4u3tTVJSkkFyWFhYEBwcjIuLi0HaK6ye9v34/6ToFqIA6fV6Knt44F2uDON9B7zQtTqdju1Hg1i/5wBh129kF9rdvFrTtUorGrvUkUI7D/R6Pf1WjybBMo0z584+cZ6QEKLo0Ov1NG/WlIe3wjg1dzBGRsrsFhH3IIkxv+xm1f4QUlIyMHUyzRp63tgWtalyO1go5dbaW6QfTif2dqz8nhUiHz2ryIuMjCQ2NtYgORwcHEp8wQ25L7rlFbsQBUilUtGnb19+mT+PjMxMNM954aHT6dh2OIgNew9wNeoGaRnp2Jhp6VOtE129WtPYpTYatfzYvgyVSsWnLf5Hj1+H8+uvv+Lr66t0JCHES9iwYQOHDh9hx7TXFCu4AeysLQgY2w3/MV34ccMJvv3tGDcCbxCzOga71nbYtbXDxL54b8/4iF6vJ/F0In269ZGCWwgDcnFxkUK4kJKebiEKWFBQEA0bNuTHj96nrpfnY4/rdDr+PHyMDXsPEBZ1859C24ruXq3pWqU1jVxqSaFdAN7ZNJEzD0IJCb2EpaWl0nGEEHmQlpZGtareeNip+HNKX6XjPGb/uUg+/HkXp67eQq8H63rW2Hewx6KyRbEeep5yPYUrX1xhy5YtdO0qc7qFyE+57VkVhiE93UIUEvXr18e5XDn2nzqbXXTrdDr+OHSMDXv3cy06hrSMdGzNrOlXvQvdvFrRsIIU2gXtk5b/o+3iwUyaNIlp06YpHUcIkQdz5swh7No1No73UzrKE7Wo6cKJeUOIiUtg9LydbDhymWsnHmBWwQz7jvbYNLRBbVz8hp7HH49Ha62lffv2SkcRQohCQV7VC1HA1Go1r/buzaplv1KxfDk27j1I+I1/C+3XanSlW5WsQttILcPwDMXFthzvNRrIzJkzGTRoEFWrVlU6khDiBURERDBhwhe8270O1dwclY7zTGXttKz6/BUyMnRMW32E2RtPEr0omphVMdi1tcOutR3Gtvmzw4XS9Ho9iScS6durLyYmJWM4vRBCPI8MLxfCAPbu3UuHtu1J12VQytyG7l6t6ebVGp/yNaXQVlBqRhrtAgbj4FaWY8eDUKuLX4+TEMWRXq+ne7dunDl+iIsL/bC2LHrbdP0ZdJVxC/dyPvIOADYNbXDo4IC5u7nCyV7Oo6HlW7dupUuXLkrHEaLYkeHlhYsMLxeiEGnWrBlaKy1Nneowp/sEKbQLiXlHl3PjwW3CT0UTGBiIn1/hHKIqhMhpzZo1bP3jDzZ+9WqRLLgBOvtUorNPJSJu3ef9uTv540QY8UfiMa9ojkNHB6zrWaPSFL153/FB8VjZWNGuXTvFMri5uREREaFY+yWVq6urQfZvFqIokqJbCAPQaDQMeHMg6379rVgvnlNUnI8JZeiGT7nx4DatavmgNbfkozEf0bVrV8qUKaN0PCHEM9y7d4/3R75H7+Ze9Gzy+OKURY1rGVs2fd2HtLQMvlx2kPlbznB9/nU0Nhrs29tTqmUpNFZF4+Xao6Hl/Xr1U3RoeUREBDKQ0/Dk9Y0QTydjKYUwkP79+3Mz/jbHo84rHaXESstI451NE+n+6/9I0acSMHYqf0xZyLxRE1Hr9YweNVrpiEKI53jj9de5dfsOkwY3UzpKvjIx0TDFrxX31o9mzRevUNHKilvrbnHpg0tE+0eTcj1F6YjPlXI9haSbSfTr10/pKEIIUajInG4hDESn0+Hm4krr0vWZ3OFDpeOUOJsv7mLcju9ISE3Cr1NvvhnyAaWsrLMfX7Hrd96a+RmbNm2iR48eCiYVQjzNn3/+SZcuXTBSq3CwNmfhh53p3riy0rEKzKXrd3l/7k52nY0gM0OHZRVL7DvaY1XbCpW68PUqxvwWQ8bRDG7dvMX69evZtWsX/fr1o3Xr1mg0huutV6lU0tOtAPm6G8az5hBHRkYSGxtrkBwODg6yJzi5n9MtRbcQBjR27FgCfvbnxDvrZEswA7mdcJcha8dz/lYonhXc+D/27jouqux94Phnhh5aULEQFRHswg4ssLsTu7u7c+1F0VUULDDAXlsx1kRFXcVYDGzFQjpmfn/4k++ygILC3AHP+/Wa1y537r3nmRkZ7nPPOc9ZPWwG1UqUS7afSqWi/ezhXHzwN7f+voWVlZUE0QqCkJoPHz5Qsrg9JY0+MrO2Ni23R/M6XEmnOsVZObg+lqYKqUPMNJHRsUzccIYNR28SHhGLjoUOFs4WmNc0R0uhGTVCVEoVwWOD6dWhF6tWrWL//v2MGjWKf/75h1y5ctG+fXs6depE1apVM30YcmYkf56enowYMYKPHz9m6HmzE5F0q0dqSV5ISAgODsWIjFTPqBiFQp+goHvpSrxdXV35+PEje/bsSbLdycmJsmXLsnz58iTb9+zZQ6tWrVCpVCxZsoRZs2bx8uVLFIqk3/fR0dFYWVkxbdo0Ro1Sb8eWKKQmCBqoQ4cOLF68mPNPrlOrkKPU4WR7v51Zz5or3shkMKvncIa36oaOdsrL8shkMlYPn4Hj4Lb07tWLAwcPivlpgqBBhg8bRsSn93h00ie/iZwXIxUMOhiDx5kgjgQ8xH24C+1q2WfL31uFvi4rBtVnxaD6eB29xYzN53js84rXu15jXssciwYW6FlJW1Au4m4E0e+i6datGwDNmjWjadOmBAQE4O3tzfbt23Fzc8PGxoaOHTvSqVMnSpUqpdbP6+nTp8yYMYNDhw4RGhpKnjx5aNmyJdOmTcPCwiJxPxsbG0aMGMGIESPUFltaxcXFMWXKFP78808ePnyIqakp9evXZ8GCBeTNmzfV4/z8/Jg3bx7//PMPcXFxFC1alNGjRyd+XgBbt25lwoQJRERE0Lt3b3777bfE5x4/foyzszMBAQGYmJik1IQgsdDQUCIjo5k4MSfW1plbUyEkJJb5898SGhqqtt7u7t27M3HiRHx9fZP8uwXw9fUlMjIy2XZNIpJuQVCjChUqYFu4CL63j4ikOxMFvgii7+7JvAoPpX75aqwcPIVCefJ/97icpjlYM3wmraYPxt3dnUGDBqkhWkEQvmfPnj1s3rIFzxZfEm4AuVzOmmYGDKoUT5Nt0XSYs5et1e6wZpgLeSyMJI448/RwLkUP51IE/vOa4auPc87/Ge9PvMeopBEWLhYYlTCSZOj5p/OfsCliQ+XKlRO3yWQyHB0dcXR05LfffuPs2bN4e3vzxx9/sGDBAooXL06nTp3o1KkTRYoUydT4Hj58SNWqVbGzs8Pb25tChQpx+/Ztxo4dy6FDh7h48SI5cuTI1BhSEhcXh45O2tdoj4yM5Nq1a0ydOpUyZcrw4cMHRowYQfPmzQkICEj1uBw5cjB58mTs7e3R1dXlwIED9OzZk1y5cuHi4kJoaCh9+vTB09OTwoUL06RJE5ycnGjSpAkAAwcOZMGCBSLhzgKsrXUpapc1V3X4lpw5c9KsWTM2bNiQLLnesGEDzZs3J2fOnBJF932ikJogqJFMJqNPv74cvOfPh6gwqcPJdmLjY+m7ewottw4kXiuBzRN+Y99s9zQl3F81dKxJ/6YdGT16NEFBQZkYrSAIaREaGkr/vn1oVkyX7mWSJyelc2vzdKQRY6rqcuhSMMV6/sHGwzez/TDXsra5Ob20Cx98h9OnURkS/onhyZInPJj4gHcn3pEQnaC2WJQxSj5f/YxrN9dUe661tLRwcnJi7dq1vHz5kgMHDlCuXDkWLFiAra0tlStXZvny5bx8+TJTYhw8eDC6urocPXqU2rVrY21tTaNGjTh+/DjPnz9n8uTJwJdhrk+ePGHkyJHIZLJkr+fIkSM4ODhgZGREw4YNk8W7ceNGHBwc0NfXx97entWrVyc+9/jxY2QyGTt27MDJyQl9fX22bNnCkydPaNasGebm5hgaGlKiRAn+/PPPFF+Hqakpx44do3379hQrVowqVarw+++/c/XqVUJCQlJ9/U5OTrRq1QoHBweKFCnC8OHDKV26NOfOnQNI7DXv0KEDjo6O1KlThzt37gCwbds2dHV1ad26dfrfeEHIQL179+b06dM8evQocdvjx485deoUvXv3ljCy7xNJtyComaurKwko2X37qNShZCu+t49Sxq05R+6fpXejdtxat5+2tVx+aOjivF4jKZgrL106dyY2NjYTohUEIS2USiXdu3UlIeoTfzTV/ebv82/O+gQNUpBLP55eS/7EecJ2nrz+pMZopWFiqM+6UY0I3zuSVUMbkDNBj5ebX3Jv+D1e+rwk9m3mf4eFXQ8jPiqerl27pml/XV1dmjRpwpYtW3jz5g0+Pj7kyZOH8ePHky9fPurWrcu6det4//59hsT3/v17jhw5wqBBgzAwMEjynJWVFV26dGH79u2oVCr8/PzInz9/4tzRfyfVkZGRLF68mM2bN3PmzBlCQkIYM2ZM4vPr1q1j8uTJzJ07l6CgIObNm8fUqVPx8vJK0ub48eMZNmwYQUFBuLi4MHjwYGJiYjhz5gy3bt1i4cKFGBmlfbTGp0+fkMlkmJmZpWl/lUrFiRMnuHfvHrVq1QKgaNGiREZGcv36dd6/f8+VK1coXbo079+/Z9q0abi5uaU5HkHILC4uLuTNmxdPT8/EbRs3biRv3rw4OztLF1gaiKRbENQsd+7ctGzRkq239mf7nhh1eP05lIYbezHywBwKWOXBf+lmVgyejJnRjw+BU+gbsHHMPP7++zZTp07NwGgFQUiPuXPncvjIEba01MXK6PuXLEVyyPlnmBEzauty5mYIDr3XsWrvVZTK7P9dK5fLGdS8As+8B3N+RVcq2uTm/bH33B93n5CVIYQHhWfa35ywC2FUqlLph4aIKxQKOnTowJ49e3j9+jXr169HS0uLAQMGYGVlRfPmzfH29iYiIuKH43vw4AEqlQoHB4cUn3dwcODDhw+8ffuWHDlyoKWlhbGxMVZWVkmKasbFxbFmzRoqVqxI+fLlGTJkCCdOnEh8fvbs2SxZsoTWrVtTqFAhWrduzciRI1m7dm2S9kaMGJG4T968eQkJCaF69eqUKlWKwoUL07Rp08Rk+Huio6OZMGECnTt3/u7Q70+fPmFkZJR40+P333+nQYMGAJibm+Pl5UX37t2pVKkS3bt3x8XFhTFjxjB06FAePXpEuXLlKFmyJLt27UpTbIKQ0bS0tOjRoweenp4olUpUKhVeXl64urqipaUZRSVTI+Z0C4IE+g/oTwPfBgQ8/xvH/KWkDidLUqlUzD+9Fo+rO5HJZMztPYohLbqkWigtvcrZFmd6t8FMWbSImjVr0rRp0ww5ryAIaXPs2DGmT5/O9Fp6NLRN3+XKdCd9epdX4rI5kiFux/A+FcSGMY2xy6/+ObtSqFo8P5fcevDmQwSj1p5k17l7PL4Whn4+fSxcLDCtYopcN2P6XeLD4vl86zOubq4/fS4zMzN69epFr169ePXqFTt27MDb25vOnTsjl8tTnftsaWlJUFAQxsbGP9Tu15sR3xsZpVAoktxYyJMnD2/evAHg7du3PH36lN69e9O3b9/EfeLj4zE1NU1ynooVKyb5ediwYQwcOJCjR49Sv3592rRpQ+nSpb8bd1xcHB07dkSpVCYZxp4aY2NjAgMDCQ8P58SJE4waNYrChQvj5OQEQKtWrWjVqlXi/v7+/ty6dQs3NzdsbW3x9vbGysqKSpUqUatWLXLlyvXdNgUhLUxMTPj0KfnIpI8fPya7mdSrVy/mz5/PyZMngS9V23v27KmWOH+GSLoFQQJ169alsE0htt3YJ5LuH3D1+d/02zOVN+HvcKlYgxWDp1Awd+pVW3/UyDauXAwKpFvXbly9dpXChQtneBuCICQXEhJCpw7tcS6iw9TaP1aFN7+JnNuDjVh2IYZJp15Qqq8Hc3rWYmQbR7S1fo2BfrnMDdkyoRmblE1YvPMyS3yv8HzDc175vCJHvRzkqJsDHfOfu1H54cwHdHR06NChQwZF/YWVlRXDhg1j2LBhPHr0iGPHjhEXF5fivpaWlhgaGqZ6LltbW2QyGXfu3KFly5bJnr979y7m5uZYWlp+M6b/Jv3/XiJLqVQCX4aY/7uYHJCsB+6/sfbp0wcXFxcOHjzI0aNHmT9/PkuWLGHo0KGpxhIXF0f79u159OgRJ0+eTFOBM7lcjq2tLQBly5YlKCiI+fPnJybd/xYTE8OgQYPYsmUL//zzD/Hx8dSuXRsAOzs7Ll26RLNmzb7bpiCkhb29PYcOHUq2/cqVKxQrVizJtiJFilC7dm02btyISqXCyckp0wsxZgSRdAuCBORyOX3792PmtBlMrzcMM/0fuzv/q4mOj2HQnhmcfHQBCxNztk1aQsvq9TNtyRm5XM66UXOoPqIzrVu14sLFi8nmAwqCkLFiY2Np37YNhkSwpZUe8p/8/R5ZVY8upXRotDWScetO4eMfhNfYJpQspLlVbjOaXC5nXIcqjOtQhRPXHjNm7UluHHzD24NvMXU0xaKBBQrb9K9zrlKqCDsdRudOnTO18nehQoXo16/fDx9vYWFBgwYNWL16NSNHjkzyPf7q1Su2bt1K9+7dE/+W6OrqkpCQvkJ0uXPnJl++fDx8+JAuXbqkO8YCBQowYMAABgwYwMSJE1m3bl2qSffXhPvBgwecOnUqyXJn6aFSqYiJiUnxudmzZ9OoUSPKly/P9evXiY+PT9J+et8fQfjq06dPBAYGJtnWtGlT3NzcGDx4MP369cPAwIBjx47h4eHB5s2bk53j3yNK1q9fr46wf5pIugVBIq6urkydOpXdt4/Ss0IbqcPReNtvHmT6iZVExkYzoHknZnQfgoki85cFMjMywWfyUmqP6krfvn3ZvHlztlwHWBA0gUqlYtjQoVy/fo1zrgZYKjKmRzqXkZyr/Y1Yfy2GYUfeUG7gBqZ0qc7EjlXR1dHseYAZrV55G66v7cWzt2EMX32c/ZeD+XTpEwY2Bli4WGDiaIJcO23v++cbn4l6G8XgwYMzOeqf5+bmRrVq1XBxcWHOnDlJlgzLly8fc+fOTdzXxsaGM2fO0LFjR/T09L7bA/7VjBkzGDZsGCYmJjRq1IiYmBgCAgL48OEDo0aNSvW4ESNG0KhRI+zs7Pjw4QMnT55Mdf55fHw8bdu25dq1axw4cICEhARevXoFfFkWTFf3y8iQ7t27ky9fPubPnw/A/PnzqVixIkWKFCE2NpY///yTTZs24e7unqyN27dvs3379sTEyN7eHrlcjoeHB1ZWVty9exdHR7HsqaYKCcn84ok/04a/vz/lypVLsq1Hjx6cPXuWyZMn4+zsTHR0NHZ2dnh6etKuXbtk52jTpg1DhgwByDJV9UXSLQgSsbKyokXzFmw9tx/X8q1FIpeK52Gvcd01nrtvH1KykB3uw2dQ0a6kWmMoVciOtSNm0X3hOMqVK8fo0aPV2r4g/CpWr17N2j/+YH0zfRzzZXwy3Ke8Hu2L69B4WyQzN51jx+m7eI1tQsVieTK8LU2XP6cJvtNbEx+vZNbWc6zad41na5+hvU2bHPVzkKNODrRNvn2Z+PHkRyo4Vkg2R1kTFS1alICAAGbMmEGHDh149+4dVlZWtGzZkunTpyfpqZ81axb9+/enSJEixMTEpLkAXZ8+fVAoFPz222+MGzcOQ0NDSpUqxYgRI755XEJCAoMHD+bZs2eYmJjQsGFDli1bluK+z549Y9++fcCXIeL/durUqcSh4iEhIcjl/7t5EhERwaBBg3j27BkGBgbY29uzZcuWZNMCVCoV/fr1Y9myZYnD4A0MDPD09Eyssu7m5ka+fPnS9J4I6mNpaYlCoc/8+W/V0p5CoZ/mG1JfeXp6Jqk8/l+HDx9O03kMDAz4+PFjutqWmkwlyicLgmSOHTuGs7Mzu7usoqKY252EUqlkjv9qPK/7oSXXYmaPYQxq3gltLenuFU7duIKlvhs5dOiQxi9NIQhZzcmTJ3F2bsCQitosb6if6e1t/zuWPgdiiYhVMrZdZWZ0r4GBXsYUYsyq9l14wIT1/gQ9fQdyMKtqhkUDCwwKJp9WE/MqhgcTHiRWvNYk/55rLaiPeN/VIzo6mkePHlGoUCH09ZN+V4aEhBAaGqqWOCwtLbG2tlZLW5rsW5/Hv4mkWxAkpFQqsS1chArG9ixrMknqcDTG5ac36L93GqERH2hapQ5LB06kQE6r7x+YyRISEmg7axgX7t3k7LmzlColbpQIQkYIDg6mUsUKVLCI4s/OemjL1TPyJzJWSavtURx/pKSQlSme45pQo2QBtbStyYKff2DoqmMcvf6YhHgliqKKL0PPy5kg0/ry2bzc+hLlNSUvnr345oWmFETyJw3xvqtHWpM8QT3S+nn8GuU7BUFDfS2oduDeKT5Gf5Y6HMlFxkbTfedY2vkMR1tXix1TV7Bz2gqNSLjhSwVar/ELscmZh0YNG/H06VOpQxKELC8sLIxmTRphoR3F9jbqS7gBFLpyjnQzZG8HfUI/hFFr5FaGuh0lPCrz50RqsiL5zPlzXnvC945iTDtHtF8m8NTtKffH3Oftn2+Jex9H2Pkw+vXpJy76BUEQ0kD0dAuCxF69ekWBAgWY5jT4ly6otjVwH7NOuREVF8OQFl2Z2nUQxorUl4CR0sv3b3Ea3Q1jCzPOnjuHubm51CEJQpYUGxtL82ZNuXj2FBd76WFvKV1Rs9h4JR12RbH/gZI8FkZsGN2YBhUKSRaPpvE+dZupG88S/Opj4rZHDx9hY2MjWUypET2u0hDvu3qInm7NInq6BSGLsLKyomWLlngG7kapUkodjtqFfHpJ3fXdmHBkMXYFbPhrhTeL+o3V2IQbIE+OnOyb5c7LZy9o2aIF0dHRUockCFlOQkICXbt04dTJE/i21ZU04QbQ1Zazu6Mhx7sZEBkRgfOE7fRafJCP4eL3G6BTnRL8s2kAt9b2Rl9Hm8qVKmtkwi0IgqCJRNItCBpg9JjRPAwN4eiDv6QORW2USiVTjy3HaV0Xnoe/ZsmACZxb7k052+JSh5YmxQoUYte0lVy+fJluXbuhVP56N0wE4UepVCoG9O+Pn58v29voUa+w5iym4mSjzdvRCrqU0mbTsb8p1vMP9p1/IHVYGuN56GeiY+NZuHCh1KEIgiBkGSLpFgQNUKVKFWpWr8GaK95Sh6IWfz25RvlVLfG85kfjyrW5uW4/g5p3Rksra62XW7V4WbzGLsRvtx8jR44Uw+oEIQ1UKhXjxo1jvYcHG5rr0dJe8yqGy+VytrRWcKGXAcRF02K6Lx3n7uXtx0ipQ5Pcst0BlCtbhlq1akkdiiAIQpahObeWBeEXN3b8OJo3b86VZ7dwzKbLh4XHRtJv9xT+enINqxyW+I79ncaVa0sd1k9pXq0uywdOYtjKOZiamjJr1iypQxIEjTZ//nwWL17Myob6dC+jK3U43+SYT5uXoxQM/jOG9WfvcjTgEauHOdPByQGZTH0F3zTFnSehHLnykE2bNmn06y9YsKBGx5ddFSxYUOoQBEFjiUJqgqAhlEolJRyKY01OPFrNkzqcDOd1bTdzT7sTExfL8NbdmdxlAIb6CqnDyjBLdm5gysblzJo1i6lTp0odjiBopKVLlzJ69GhcimhxuKvm1m1Iyd+v42nsHc3TT0qaVrFl7XAX8loaSx2WWvVe8ieHAl/z+EkIurqafcNEELIrUUhNs6T18xA93b8QGxsbnjx5InUYkipYsCCPHz+WOowUyeVyxowbS9++fQl+F0IRC2upQ8oQjz88x3XXOILfP6VC0RKsHj6D0oWLSR1WhhvdrhfxCfFMmzaN9+/fs2zZMqlDEgSNsnz5ckaPHo1FrrwcCX7B7NMxTKmlm2V6JEvm1iZkhBHjjkWz/NJDivX6gxWD6tPTpXSWeQ0/I+TNJzYdv838+QtEwi0IGiokJITQ0FC1tGVpaYm1dfa4VlUH0dP9CxFLOWj+exATE4ONdUGcrCryW6PxUofzU5RKJZOPLWP7rYPo6egyt/dIejdsm+XmbafHX7ev4TKhNwkJCcydO5dJkyZJHZIgaIQVK1YwYsQIWnYdTLdBU5g1vCM3rpxmYg1d5tbVy3JJa/B7JS5bIgn+oKReuYKsH9UIGyszqcPKVEN+P4rPuUc8fhKCkZGR1OEIwi8rtZ7VkJAQHBzsiYyMUkscCoUBQUF305V4u7q64uXllfhzjhw5cHR0ZNGiRZQuXTrJvv369cPDw4OtW7fSsWPHDIs7o4mebkHIIs6fP8+CBQt4+vQp165dY/TYMUyaMJGR1V3Ja5Jb6vB+yJlHVxiyfxYfoj7RpqYzv/UfT54cOaUOK1P9dfsajSb2wdjYGAcHByZPnkx8/Jeeb0H4la1cufJLwt1lEN0GTUEmkzF95XYWjHNl/tnDRMbBMpeslXgXySHnn2FGzDodzbxzTyneez2L+tZhUPPyyOVZ53Wk1ct34aw/fJOp02aIhFsQNFRoaCiRkVEsXtwZW9vMvX7855/XjBmzjdDQ0HT3djds2JCNGzcC8OrVK6ZMmULTpk0JCQlJ3CcyMpLt27czduxYPDw8NDrpTiuRdAuCBFQqFYcPH2b+/PmcPXuW4sWLM3v2bGQyGQMGDGD+3HmsuezDrPrDpQ41XcKiw+m7ewoXnwaS1zIXnhPn41yxhtRhZbq//r5Ko0l9MTQyomfPnpiYmKCvr8/06dOJiopi3rx5WSqhEISMsnLlSoYPH06LzgPpNnhqkt+DCYs8WTp1ACuO7yEqXoV7E33kWez3ZFptfXqVU9JwSyRDVx1j26k7eI5tgl3+HFKHlqGW7LqMvr4BQ4YMkToUQRC+w9Y2NyVK5Jc6jFTp6elhZWUFgJWVFePHj6dWrVq8ffuWnDm/dNDs3LmT4sWLM3HiRPLkycPjx4+xsbGRMOqfJ5YMEwQ1io+Px9vbm7Jly9K4cWNiY2PZs2cPt27donXr1gAYGRkxfOQIvG8e4G3Ee4kjTjuPgJ1UWN2KS88CGdW2JzfW7v1lE26AWrVq4ezszIIFC+jVqxfx8fESRyoI6qNSqZg8eXJiwt19yLQUbzyNmr2Guk07se5qHL32RpOg1NzpP6nJbyLn70FGLHPR4/qDl5Tsu55F2y8Sn6CUOrQMEfopEvcDgQwdNhxTU1OpwxEEIRsJDw9n69at2NraYmFhkbjdw8ODrl27YmpqSuPGjRN7xrMykXQLghpERUXh7u6OnZ0dnTt3Jm/evPj7+3PhwgVatGiBXJ70V3Ho0KHo6Omy7sp2iSJOu+B3IdT8ozMzTvxOqcLFuOS2k9k9h6PQN5A6tEyXWsL9VdWqVWnVqhWbN2+mRYsWREaKNX6F7C82NhZXV1fmzZtH9yHTUk24vxoyeRmN2vZi0404OvtFE5eQ9RJvgBFV9Hg6QkHpnDBhvT+Vhnhx69EbqcP6acv9ApBpaTN8eNYaeSUIgmY6cOAARkZGGBkZYWxszL59+9i+fXvitfCDBw+4ePEiHTp0AKBr165s3LgRpTJr38gUSfcvztXVlZYtWyb+/OrVK4YOHUrhwoXR09OjQIECNGvWjBMnTiTuY2Njw/Lly1M9p5+fHxUrVsTMzAxDQ0PKli3L5s2bvxvLkSNHqFKlCsbGxuTMmZM2bdrw6NGjxOevX79OuXLlMDIyonnz5nz48CHxufj4eMqXL8+VK1fS9wZksk+fPrFgwQIKFSrEkCFDqFSpEteuXePQoUPUrl071QtRc3NzBg8ZzKbAvXyIClNz1GmjVCoZd2gh9Tf24F30B1YNm4b/kk2UsCkqdWhqcfbmlW8m3F+VLl2ajh07cuLECerUqcO7d+/UHKkgqE9YWBiNGzfB29uHUbPW0LLLoDRNregzeh4tug5m55042u6MIiY+aybelgo5Af2MWNdMj3shbyk/YCMzNp0lNi5B6tB+yMfwaH7fe42BAwdhaWkpdTiCIGQDderUITAwkMDAQC5duoSzszONGjVKXGHJw8MDFxeXxO+cxo0bExERwfHjx6UM+6eJpFtI9PjxYypUqMDJkydZtGgRt27d4vDhw9SpU4fBgwen+Tw5cuRg8uTJXLhwgZs3b9KzZ0969uzJkSNHUj3m4cOHtGjRgrp16xIYGMiRI0cIDQ1NHHIN0KdPH+rWrcu1a9f4+PEj8+b9by3rxYsXU6NGDRwdHX/sxWewV69eMWHCBKytrZk+fTotW7bk3r17+Pj4UK5cuTSdY+TIkShlKjwCdmZytOl3MvgCZdya4X3zIG1qunBr/QF6NWybrMc+uzp78wpNpvT/bsL9la2tLd26dePOnTtUrVr1l1+6T8ieXrx4Qc2atbh4+TJTl3tTo0HLdB3fffBU2vcew4H78bTYHkVUXNZMvAF6l9fj5UgFVfLJmLXlL8oO2MCVey+lDivd3PZeJSZeyejRo6UORRCEbMLQ0BBbW1tsbW2pVKkSHh4eREREsG7dOhISEti0aRMHDx5EW1sbbW1tFAoF79+/x8PDQ+rQf4oopCYkGjToS4/E5cuXMTQ0TNxeokQJevXqlebzODk5Jfl5+PDheHl5ce7cOVxcXFI85tq1ayQkJDBnzpzExG3MmDG0aNGCuLg4dHR0CAoKYuvWrdjZ2dGpUycOHDgAfEnYN2zYwNWrV9P5ijNecHAwv/32G56enujq6jJw4EBGjBhBnjx50n2uXLlyMXTYUNxW/E73ci3JZWTx/YMy2afoz/T2ncSV5zfJnzMPWyYvpl75qlKHpVZn/j/hNkpjwv1Vvnz5cHV1Zdu2bVSpUoX9+/dTsWLFTI5WENQjMDCQZs2aEx2XwBz3vRQs4vBD5+nQewy6ugZsc59N421RHOhkgKFu1iqu9pWJvpyzvYzYcTuW3vs/UHmoF2PaVWZm9xoY6OlIHd53fYqIZpnfVfr06ZtY9EgQBCGjyWQy5HI5UVFR/Pnnn3z+/Jnr168nWWL27t27dOnShXfv3iWZ+52V/BrdUsJ3vX//nsOHDzN48OAkCfdXZmZmP3RelUrFiRMnuHfvHrVq1Up1v4oVK6KlpcXGjRtJSEjg06dPbN68GWdnZ3R0vlyclClThmPHjhEfH8+JEycS1/MbMGAAixYtwtjY+IdizAiBgYF06tQJOzs7du/ezfTp0wkJCWHhwoU/lHB/NWHCBPT09Vh23jPjgv1Bay75UHF1awJe/M24Dn0JXLvnl024jY2N05Vwf2VhYUHPnj3R1tamRo0a+Pj4ZFKkgqA+fn5+VK9eHX3jHMz/4+APJ9xfteo2mJ4j53I2JJ4GmyMJi8m6Pd4A7Uvo8nqUggaFtFiy8zIl+3pw9tZTqcP6rsU7LxMVp2TSpElShyIIQjYSExPDq1evePXqFUFBQQwdOpTw8HCaNWuGh4cHTZo0oUyZMpQsWTLx0aZNG3LmzMmWLVukDv+HiZ5uAYB//vkHlUqFvb19hpzv06dP5MuXj5iYGLS0tFi9ejUNGjRIdX8bGxuOHj1Ku3bt6N+/PwkJCVStWpU///wzcZ/169czaNAgFi9eTPXq1Zk4cSKbNm1CoVDg6OiIi4sLwcHBdOzYkTlz5nw3xqCgIF6/fv3Tr3PNmjUcPnwYGxsbfv/9d3r27ImBQcYUETM3N2fy1CmMHzeePhXaUcQifWshZoQH757gums8IR9fULV4WVYPm4G9dWG1xyG1fyfcrq6u6U64vzIyMqJHjx7s37+fTp06cevWLWbNmpXkjq4gZAUqlYq5c+cydepUqtdrzpApy9HTV2TIuRu3642uvgF/LBhFXa9IjnVTYG6QNXu8ARS6co50M+TPB3F09guj1qitDGpengW9a2Os0JM6vGRef4hgmd9Vhg4dTt68eaUORxCEdPjnn5+7ts3sNg4fPpzYIWVsbIy9vT07d+7EwcGBgwcPsm3btmTHyGQyWrdujYeHR5Yt6ihTqVRZ+xaykGYymYz/ftyurq58/PiRiRMnUqVKFXbv3p2ksFpKbGxsGDFiBCNGjEh1H6VSycOHDwkPD+fEiRPMnj2bPXv2JBt6/tWrV6+oVasWLVu2pFOnTnz+/Jlp06ahra3NsWPHUizE8+7dOxwdHTlz5gzDhg2jbNmyjB49GkdHRxYuXEizZs1SfQ8SEhIwNjYmKirqm681LUqVKsWECRNo37492toZfx8rOjoae7tiOBjYsK7V928mZJR4ZTzjDi1id9AxFHoGLOo3lm71k1da/xWcvnGFplN/PuH+N5VKxfnz5zlx4gQuLi5s27YNc3PzDIhWEDJfVFQUvXr1wsfHh459xtKu16hMWYv+7NHd/D5zEA6Wck50NyCnYdb//omNV9LJN4q995VYmRuyYUwTnCsWkjqsJIavOobXyQc8fPSIHDmy15rjgpDVRUdH8+jRIwoVKoS+vn7i9pCQEBwc7ImM/Plr27RQKAwICrqLtbX6O4Q0SWqfx3+Jnm4BgKJFiyKTyQgKCvpu0p0WcrkcW1tbAMqWLUtQUBDz589PNeletWoVJiYmLFq0KHHbli1bKFCgAJcuXaJKlSrJjhk5ciQjRowgf/78+Pv7M2fOHAwNDWnSpAn+/v4pJt1faWlpERISwsePH3/qdWppaWFjY5MpF5tf6evrM2feXLp160bAs1tUzF8q09r66uiDvxj15zw+RX+mc92mLOg7hpymv+aFV2Yk3PDlBlD16tXJnTs3u3fvpkKFCuzdu5dSpTL/8xWEn/Hw4UPatWvP7Tt3GDPnD6rVa55pbdV0boWOrh7LpvSm5sZITvVQkMc4ayfeutpyfDsY4v84nrY7I3GZuB1X51IsHVAPc+PUL9jU5fGrj7gfCGTGzFki4RaELMTa2pqgoLuEhoaqpT1LS8tfPuFOD5F0C8CXiuMuLi6sWrWKYcOGJZvX/fHjxx+e1w1fevViYmJSfT4yMjLZ8NqvP6e0Lt+JEye4e/cunp6eACQkJBAXFweQ+N/vsbS0zDJLoHTu3Jklvy1m3pm1+Hb6PdOS/A+RYfTym8DVF7cpZJUfn6FLcSpbOVPaygr8b1ym2dQBiXO4M6NugK2tLX369GHnzp1UqlSJlStX0qdPn0y9kSMIP8rb25t+/ftjbJKDOWv2UqRY6Uxvs4pTYyYs3saCsV2osTES/x4KCphm7cQbwMlGmzejFbjuiWbz8b/583Iwf4xsSItqdpLGNcXzLBYWFgwfPpzAwEDi4+OzXNFHGxsbsUpEOhUsWJDHjx9LHYbwk6ytrUUirKGy/l8tIcOsXr2ahIQEKlWqhK+vLw8ePCAoKIiVK1dStWraC2bNnz+fY8eO8fDhQ+7evcvSpUvZtGkTXbt2TdzHzc2NevXqJf7cpEkTrly5wqxZs3jw4AHXrl2jZ8+eFCxYMNkSW1FRUQwePJg//vgjcahz9erVWbVqFTdu3MDX15fq1av/5LuhWeRyOQt/W8SVpzc5+s+5TGnD7cJmHNe0JvDVXSZ3HsBVdz+RcGdywv2Vubk5PXv2pESJEvTr14+2bdsmWYdeEKQWHh5Oz5496dy5M+Wq1uc3r+NqSbi/KlelDlNX7OJZuIzqGyJ59CH5zdisSC6Xs6m1ggu9DJDFR9Nyuh8d5uzh7cdISeK59uAVW0/cZtbsLyPHVq9ejaOjI23atOHevXuSxPQjnjx5gkqlEo90PMRNCkHIXCLp/sUplcrEeciFChXi2rVr1KlTh9GjR1OyZEkaNGjAiRMncHd3T/M5IyIiGDRoECVKlKBatWrs2rWLLVu20KdPn8R9QkNDCQ4OTvy5bt26bNu2jT179lCuXDkaNmyInp4ehw8fTlaUbNasWTRt2pSyZcsmblu5ciWBgYHUqlWLpk2b0qZNmx98RzSXs7Mz9evVZ8HZP4hXxmfYee+8/oeqa9qz8Mw6KtmX5qq7L5O7DERfV/OK+6iLOhPur3R0dGjatCnt2rXj8OHDlCpVinPnMucGiyCkR2BgIBUqVMRn+w6GTFnOiBmrURiqf7WIkuWrMWv1Pt5Eyam2IYL77xLUHkNmccynzYuRCgZW1MHv3H3sXNfiffJOsjosmUmlUjF2nT8O9sXo2bMnAO7u7nh5eREQEECJEiXo378/L168UFtMgiAI2YUopPYLSamQWsOGDbG1tcXNzU2iqNQrpfcgK7l+/Trly5dngcsYupT9uXmU8cp4Rh6cx4G7pzBSGLK4/zg61232yw9rPhV4iebTBqo14f6vT58+sXv3bp4+fcq0adOYPHlyphTpE4RvSUhIYP78+UyfPp2CRRwYNXst+QraSh0WD+//zZR+jTHSisO/h4ISubJX5f/bb+JptC2ap5+UNKlchLUjGpLPMvO/hw5dDqbx5J3s27cvWU2U6OhoVq9ezdy5c4mKimLEiBGMGzfup6adZaas/rdeCuI9yzrSWrhLUI+0fh6ip/sX9eHDBw4ePIi/vz/169eXOhwhjcqVK0eXzl1Yen4jkbE/Xp3yz3v+lP69GXvuHKdzvWb8vf4AXeo1Fwm3BiTcAKampnTv3p2aNWsya9YsatWqxYMHDySJRfg1BQcHU7NWbaZOnYpMroWuvgFW+TWjwnZhu5Is9DxOhFKXmhsjCXyVfXq8AUrk0iZkhBHjquly7Ooj7Hv9wfo/b2RqQhQbl8Cotf7UrlWTpk2bJnteX1+fUaNGERwczIgRI1i+fDlFihRh6dKlREdHZ1pcgiAI2YVIun9RvXr1on///owePZoWLVpIHY6QDnPmzuFj9GfWBexI97HvIj7QfFN/BuydTu4cFhxbuIG1I2dhYWKW8YFmMaeuX9SIhPsruVyOk5MTPXr04P79+5QqVYqlS5eSkJC9EgxBs6hUKtzd3SlZqjTXgh6Su/MCTJx6c+/WVXZv1pwRUQVs7Fi82Z8YmT61NkZw+Xn2+71Y2ECfu4MUWBkk0HfZIeqP8+HRy4+Z0tbKPQHcf/aOlb+7ffPmq5mZGfPmzeOff/6hbdu2jBs3jmLFiuHl5SW+mwRBEL5BJN2/qN27d/Ps2TPmzp37y/duZjU2NjYMHjKYNVd8eBvxPs3HLT/nSeU17fj77QOmdR1MgLsfNUplrYq0meVLwj0IExMTjUi4/83a2pp+/folrkPv4ODA33//LXVYQjb07NkznF1cGDRoEDr2tcnluhL9AiUxqdAU3Xz2+KxbxD9BgVKHmShP/kIs8z6HSseQOl4RnAvJuFoXmqKQuZwHQ42YU0ePv/5+Sok+6/l9TwBKZcb1er8I/czMLecZPHgwpUunrThe3rx5Wbt2Lbdv38bR0RFXV1fKli3LwYMHNXaIsqura4pLovr7+yOTyRKXEP3689dHzpw5adSoETdu3Ehy3O3bt2nfvj05c+ZET0+PokWLMnXqVCIjv10Eb926ddSsWRNzc3PMzc2pX78+ly9f/uYxM2bMSBLT18e/V5q5fv065cqVw8jIiObNmycpxhkfH0/58uW5cuXKd94lQRAyi0i6BSELmjJlCnoGesz1/36Bu1uv7lPZvS1L/tpA1RJlub5mDxM69UNPR1cNkWq+xITb1ARXV1eNSri/0tXVpXLlymhra/Po0SPKly/P1KlTxbBOIUPExsayePFiitnbc+bSdXK1m0kO58HIdf9XxDJ3+1nIdPRYMrU/0VEREkabVM7c+Vix/QJa+iY02BzJiYfZL/EGmFxLj4dDFRQxVTJs1XFqjNjCvafvMuTc49b7Y6AwYtasWek+tlixYuzatYsLFy6QI0cOmjZtipOTExcvXsyQ2KR07949Xr58ycGDB/nw4QMNGzbk06dPAFy8eJHKlSsTGxvLwYMHuX//PvPmzcPLy4sGDRoQGxub6nn9/f3p1KkTp06d4sKFC1hbW+Ps7Mzz589TPWbMmDG8fPkyyaN48eK0a9cucZ8+ffpQt25drl27xsePH5k3b17ic4sXL6ZGjRo4OjpmwDsjCMKPEIXUfiGiSEb2eg82bNhA79692dFpJVWtyyZ7PjY+luEH53Lo/hlMDY1YMmACHZwai5EN/3Ly+gVaTBus0Qn3V25ubkRGRrJ582YOHTrEpk2bsLGxYcWKFTRq1Ejq8IQs6tixYwweMpR/HjzAqHwTzGp0Qa5vlOK+UQ+vEuo7k/rNuzBg/G9qjvTbPn/6wLCO1YgM+8CejgY0LqojdUiZZsXFGCacjCNBBbN71GJ0u0poa/1YH8qZmyHUHr0NDw8PevXq9VNxqVQqDh06xIQJE7h16xatWrVi3rx52Nvb/9R5f0RKf+tdXV35+PEje/bsSbLd39+fOnXq8OHDB8zMzJL9DPDXX39Ro0YNDh8+jLOzMyVLlkShUHDp0qXEpUsBbty4Qbly5Zg/fz7jx49PU6wJCQmYm5vj5uZG9+7d03TMjRs3KFu2LGfOnKFmzZoAKBQKrl27hr29Pe7u7hw4cICDBw/y8OFDGjZsyNWrV7/5Ny47XR9ld98q3BUSEkJoaKha4rC0tBRrgiMKqQlCtufq6kq1KlWZcmIZsQlxSZ7bd+cEZdxacODuKbo3aMmt9QfoWKeJSLj/JSsl3H/99Rfv3r1j+PDh5MuXjz59+uDl5YWxsTGNGzemUaNG3L17V+owhSzkyZMntGrd+ksPW7QOVq4ryFG/f6oJN4BB4Qro29fk6J7NXD57RI3Rfp+xqTmrdl7C2DwnLXyi2B0U9/2DsqjhVfR4OkJBmZww0cMfx8Fe3Hz4Jt3niU9QMnT1SSo5VsTV1fWn45LJZDRu3Jjr16+zadMmrl69SokSJejXr983e3Gzgq9Ll8bFxREYGMidO3cYNWpUkoQboEyZMtSvXx9vb+80nzsyMpK4uDhy5MiR5mPWr1+PnZ1dYsL9te1jx44RHx/PiRMnEqcKDBgwgEWLFmn03zghY4SEhFDMwYEKFSqo5VHMwYGQkJB0xejq6opMJmPAgAHJnhs0aBAymSzx++jNmzf0798fa2tr9PT0sLKywsXFhQsXLiQeY2Njk2zaRf78+VOdkvHvx+PHj3/m7U43sQbNL6RgwYK/fNJVsGBBqUPIMHK5HPe1ayhfvjweATsZWLkzb8Lf0XPXBG69vk/R/Da4D59BtRLlpA5V45y4doGW07NGwh0eHs7p06cpV64czZv/b5m4QoUK4ebmxunTp3Fzc6NUqVIMHjyY6dOnY25uLmHEgiYLDw/nt99+Y+Gi31DpGmLZbCwKh1pp/ttg0WQ0sSG3+H32MFZ6n8XcIlcmR5x2CiMT3HZdYnjHGrTd+YKtraFjyezZ422pkHOlnxEbr8cy5PBbyg/cyOTO1ZjcuRq6OmlbQm3N/uvceviaS977kiWPP0NLS4tu3brRrl073N3dmTt3Llu2bMHZ2TnTlj7MmTMnK1asQFf329OmDhw4gJFR0htL3ysA9+7dO2bOnImxsTGVKlXi1KlTADg4OKS4v4ODA+fOnUtz7BMmTCBfvnxpXkkmJiaGrVu3MmHChCTb169fz6BBg1i8eDHVq1dn4sSJbNq0CYVCgaOjIy4uLgQHB9OxY0fmzJmT5viErCM0NJToyEhMJs1F2zpzV5uID3lE2LzJhIaGpru3u0CBAvj4+LBs2bLEG1rR0dF4e3snOVebNm2Ii4vDy8uLwoUL8/r1a06cOMH790nrGc2aNYu+ffsm/qylpYWBgUGSxN7R0ZF+/fol2S9nzpzpivtniaT7F6LuOzpC5itdujTDhg1j+Sp3Xoa9YevN/chkMNN1GMNbdUdXJ3tecP6MLwn3IExMTenZs2eyCzBNs3XrVgAmTpyYLDGSyWQ4OTlRtWpVtm/fzrp169i8eTNz5syhb9++Ym1vIVF8fDweHh5MmTqN9x8+YlShOaZV2yPXU6TrPHK5nJwd5vDGaxhuc0YwZelWjbqZq6+v4PcdFxnRuSadfZ8QE6+iR9nsW7+iZzld2jho08w7ktlb/2LH6bt4jWtCJfu83zzuzYcIpnido0/v3pk2z1dfX5+RI0fSq1cvlixZ8t1iYT/DwMAgTUOj69Spg7t70looly5domvXrsn2zZ8/PwAREREULVqUnTt3kivX928yqVSq7yb/Xy1atAhvb2/8/f3TvN6yn58fnz9/TjYUvUSJEpw+fTrx53fv3jFjxgzOnDnD0KFDqV69On5+fjg6OlK5cuVka7EL2Ye2dSF07FK+KaQJypcvz8OHD/Hz86NLly7Al3/XBQoUoHDhwgB8/PiRc+fO4e/vT+3atYEvHWeVKlVKdj5jY2OsrKySbf/39Z2Wllaq+6mLuCIThCxu5syZbNywkY3X/KhXriq/D5lKoTz5pQ5LI2W1hPvatWu8evWKIUOGUKBAgVT309PTo3v37jRu3Jg1a9YwePBgli9fzqxZs2jXrl2G9mIJWYtKpeLgwYOMHjOW+/fuYlSiDnnadEPb9Md7qHUtrTGq3J7rf23jsO9GGrX9ubnAGU1XV5eVPn8xsqsTrnv/ISoeBlTMvom3ib6c0z2N2HE7lt77P1Bl2CZGt63EzO41UeinfON1/Hp/5Nq6zJs/P9PjMzU1/aEibZnB0NAQW1vbJNuePXuW4r5nz57FxMSEnDlzYmJikri9aNGiANy5c4eyZcsmO+7u3bvY2dl9N5bFixczb948jh8/nuaq8fClR7tp06bfTR5GjhzJiBEjyJ8/P/7+/syZMwdDQ0OaNGmCv7+/SLoFSfXs2ZONGzcmJt0bNmygV69e+Pv7A18SZiMjI/bs2UOVKlXQ09OTMNqMIa7EBCGLMzY2ZsHCBQD0btRWJNypyGoJd3R0NEeOHMHOzo4OHTqk6RhLS0umTJnCxo0bsbS0pGPHjpQtW5a9e/eKAjm/GJVKxdmzZ6ntVIdmzZrxLEYPqx7LsWg6+qcS7q/ManRGJ2dBNq6czrPH9zMg4oylra3Nim1nsClagoEHo1l+MUbqkDJd+xK6vB2jwKWwFkt3XaFk3/WcuZl8vuWJa4/xPHqLBQsXYWlpKUGkWUOhQoUoUqRIkoQboFy5ctjb27Ns2TKUSmWS527cuMHx48e/O0f+t99+Y/bs2Rw+fJiKFdO+dOejR484deoUvXv3/uZ+J06c4O7duwwZMgT4MoQ+Lu5LnYO4uDixproguW7dunHu3DkeP37MkydP+Ouvv5KMONHW1sbT0xMvLy/MzMyoXr06kyZN4ubNm8nONX78+MQk3cjIiJUrV6rzpaSZSLoFIRvo168fzZs1Y/TaBXwMD5M6HI1z/Op5Wk4fhKmZWZZIuAF8fHyIj49n6tSp6R4mXqxYMZYsWcKaNWvQ0dGhZcuWlC9fnj179ojkO5tTqVQcOHCAqtWqU6tWLQLuhZCr7XQs289Bz8r2+ydIh1wd56GSyVkydQBxcakvkSQVuVzOYs9j2JWowMgjMcw/m/0Tb31tOYe6GnKgkz7vP36m9uhtDFp5hM+RX157ZHQc/VYcpVbNGvTp00fiaLMmmUzG+vXruXPnDm3atOHy5cuEhISwc+dOmjVrhouLC/3790/1+EWLFjFlyhQ2bNiAjY0Nr1694tWrV4SHhyfu4+bmRr169ZIdu2HDBvLkyfPNFSuioqIYPHgwf/zxR+Iop+rVq7Nq1Spu3LiBr68v1atX/4l3QBB+nqWlJU2aNMHLy4uNGzfSpEmTZDcB27Rpw4sXL9i3bx8uLi74+/tTvnx5PD09k+w3duxYAgMDEx9pXQVA3UTSLQjZgEwmY9Xq1YTHRDN14wqpw9Eox67+RasZgzE1M8PV1TVLJNxBQUGEhITQo0ePZEMh06NMmTKsWrWKVatWIZfLadWqFWXKlGHTpk3fXEdWyHri4+PZunUrJUqWolmzZtx69omcbaaRs8cKDIo4Zsq8a22FKWbOQwgJDsJn3aIMP39GkMvlzPtjPyXLV2fSyRimnYr+JW48NSqqw5vRClrba/HHwUAceq3jyJWHTN90lufvwlm33kNMO/kJ1atX5+LFi2hpadGoUSMKFixI+/btadGiBfv370dLK/VidqtXryY2Npa2bduSJ0+exMfixYsT9wkNDSU4ODjJcUqlEk9PT1xdXb95/lmzZtG0adMkQ99XrlxJYGAgtWrVomnTprRp0+bHX7wgZJBevXol9mantmShvr4+DRo0YNq0aZw/fx5XV1emT5+eZB9LS0tsbW0TH1+X+tM0Yk63IGQT+fPnZ/6C+QwZMoQOdRpTo2QFqUOS3LGrf9F6xpAslXDHx8ezb98+8ufPnyHL+MCXoiXly5fn+vXrbN68mR49ejBu3DiGDh1K//79xRDTLCwsLIw1a9Ywd/4Cwj5+QFGkIrk7L0Avfwm1FDgzKlGHiNv+7N68inJV6lCyvOb1oMnlcmat8mXOqM7MPnOSqDhY1EBPowrAZQZdbTm+HQw58zie1jsjaThpBzIZzJs3P01zjrOb//aOfeXk5JTkRsx/f05NqVKl2LVrF/AlIe7duze+vr4MGzYscd53StJS1HbGjBnMmDEjyTa5XM7Tp0+/e+z8FObp29raZmohO0H4EQ0bNkzsAHBxcUnTMcWLF2fPnj2ZGFXmEbc5BSEbGThwIFWrVGGI22xiNHC4pzplxYQbYNeuXURHRzN16tQ0V8BNq3LlyrF06VK8vb2pUqUKs2fPpkCBAgwYMECs853FPHjwgGHDhpE3Xz4mTppE2McPmNXsRs62M9AvUFKtCWXO1pPRNjBk2fRBRHz+pLZ202vK0m1UqdOExRdiGXooGuUv0OMNUMtGm2cjFJjqyyhobc3o0aOlDinbkcvleHh4MH78eM6ePSt1OIKQJWhpaREUFERQUFCy0Rvv3r2jbt26bNmyhZs3b/Lo0SN27tzJokWLaNGihUQR/xzR0y0I2YhcLmfd+vWUK1eOmZvcmNd7lNQhSSKrJtyPHz/mwYMHtG/fnlKlSmVaOzY2NkyYMIEBAwawe/dufH19Wbt2Lc7OzvTr149mzZpleMIv/DyVSsXx48dZvnwFhw79ibF5Dup060WdTt2Z0aohEXf8ManaXu09uHJtXSzaTOet9wTWLhrPqNlr1Np+eoyb58GKmUNYdXgX0fGwtqk+WvLs3eMNMPdsLBHxcs7s24+OWEoyU8jlcoYPHy51GIJAfMijLNPGfwsVfmVkZETlypVZtmwZwcHBxMXFUaBAAfr27cukSZMypG11k6l+hclNgvCL+e233xg/fjyH56+nVunMWYNVUx0NOEebmUOzXMKtVCpZsmQJhoaG+Pj4oFCkb/3knxEbG8uxY8fYs2cPf//9NxYWFjRo0IApU6ZQokQJtcUhpOz+/fts3bqVTVu28PjhQ6zti1Ove28qN22Brr4BAEc91+Ezbwa52s3EoLA0U0veH3Pn87WDDJ+xitoumj1n1H3hWI7v2UznUjp4ttRHOxsn3tdeJlBpfSTTps9g2rRpUoejFjKZ7JeYu5+RxHuWdURHR/Po0SMKFSqUZH33kJAQijk4EB0ZqZY49BUK7gUFYW1trZb2NFVqn8d/iaRbELKhhIQE6terz4M7d7nitgtz45TvJGY3RwPO0mbmsCyXcAPs2bOHGzdusHz5cipXrixZHMHBwUyaNImQkC9LDVWoUA5X11506NCBnDlzShbXr+bNmzds376dTZs2ExBwBYWxMeVdmlC9ZVvsHKsk681WKpUMKmePPJctuTvOlShqeL6mN1qxn1mx9TS58qS+trwm2LhiGgd8/qCVgzbebQzQ1cp+iXdsgoqK62PQylWMywFXf5lebpFApp94z7KObyV5ISEhhIaGqiUOS0vLXz7hBpF0C8Iv7+nTp5QqWYoGZauyafzCbF80KCsn3C9fvsTDwwNnZ2eN6ImqV68OxYvLaNLUhGNHI7h8ORKlEmrWrE7btu1p1aoV+fLlkzrMbOft27fs3buXXbt8OX78GDK5nFK161K1eWtKO9VL7NVOzdbZUzmxeQN5eq5EN1dhNUWdVPyn17xaP4Cixcsye/Web1ZZ1gRb18xn96YVNLLVZld7A/S1s9f35KQT0fx2MYErVwKSVLPO7kQCmX7iPcs60prkCeqR1s9DFFIThGyqQIECrFm7hl1nDuNz6qDU4WSqfyfcWWUd7q+USiXe3t4YGRlpxHzAU6dOERkZTdNmJtSsacis2bnw2V6A4SNyEBV1jZEjh5M/f36qVq3MkiVLePQo8+eOZWfPnz/Hzc0Npzp1sLKyon///jz58InOU2ez9Nw1hq7eQMWGTb+bcAO0GzsZubYOYZd3qyHylGmb5sakdk/u3rzC3q2rJYsjrboMmEjHfhM49E88zbyjiIzLPknHyUfxLPgrlpkzZ/1SCTdAwYIFkclk4pGOR8GCBaX+2AQhWxM93YKQzXXr1o19u/dw2W0nBXNnv97JowFnaT1zGGb/n3AbGhpKHVK6HD16lAsXLjB37lzq1q0rdTi4urry4sUDduwsiI5O8l6/8PAELlyI5OzZKK4GRBETk0Dx4sVo2LAJzs7O1KpVCwOD7yeIv6qYmBguXrzIqVOnOHLkKBcvXkBLW5viVWtQ3rkx5eq7YGLx40u4/T6wF9dPHiPfgA1om0i3FNzLzaOJf/UPCz3+pIh9GcniSKt93mvY/PsMqhXQ4mBnBcZ6WbvHOzRSSZk/YihWrirHjp/U+BEHgiCknejp1ixieLkgCAB8+vSJ0qVKU8A0J0fmr89WF19HrpylzaxhmJub4+rqmuUS7vfv3+Pu7k61atVYsGCB5FMAIiMjcXGpT8uWJgwYaPHd/aOilFy+HMmVy1EEXI0l9G0Menq6VK1ahfr1nalbty4VKlT4pSuhx8TEEBAQwKlTpzh56hTnz58nJjoaI1Mz7CpVpVx9F8rWbYChqVmGtPfh9StG166EScUWmNfplSHn/BHK2EherO5Bzpy5Wbb5JHr66isM+KOO7N7E+sXjqJBHi6NdvyyxlRWpVCpa7ojhr9cKbtz6W0wFEYRsRiTdmkUk3YIgJDpz5gxOTk7M7D6UsR36SB1Ohjh85Sxts3DCDfD7778TFRXFjh07sLSUrlfyq1WrVrFlyxbWrc9PoULpS5RVKhVPnsQREBDJjcAYbt6MJSIiDj09XcqWLUOVKtWoVKkSlSpVokiRIpLfYMgsz58/5+LFi1y8eJFz589z7do1YqOjMTQxoWjFythXrkaxytUoUMwBeSbdAJvdtimPg4LIP3gTcj3pkt3I4CuE+s3GuUU3+o9bKFkc6XHqzx24zx1OyVxyjnczwEKR9Wbhrb4Sy+A/o9mzZ0+WXc9WEITUiaRbs4ikWxCEJCZNmsRvv/2G/+LNVLDL2stAZYeE++zZs5w8eZKJEyfSvHlzqcMBoEmTxlhYROK+5ud7xhISVDx4EEPQnRiC7sZw/14Cz55FAWBubkqlSpUpX74CJUqUoESJEtjb22epi4eoqCgePHjAvXv3uHfvHjdu3uTchQu8evYMAD2rPMjsSxF7+S8K2hZl8vZ9mZZk/9fjWzeY1aYJ5nV7Y+LYUi1tpubtvkVEBp1h0m+bqFjDWdJY0uqvE/tYOb0/RXPIONldQW6jrJN433qdgKNHFL379GfVas2fUy8IQvqJpFuziKRbEIQkYmNjqVqlCp/ffuDCSh8Ms8Bwz5Rkh4Q7PDycFStWULp0adzc3DSi1/f+/fv06NGD4SMsadYsc5aY+/QpgXv3Yrh3N4a7d2N59CiBN2+iAdDT0yFXrlzY2dlTtGhRihYtiq2tLUWLFsXGxkbt88RVKhVv374lJCSEJ0+e8OTJEx4/fkzQ3bvcuXePl0+fJlb61TE1Q8umCHKHUug4lELHoSRalrkA+DBxKKrAK6y6dg9tNS7XNL5eNd5/CCffAA9kWtpqa/e/lEolL1d3R18LVnqfxSxH1lh27sq5oyye4IqNKZzqoSCfieYn3lFxKhw9YpBZFOFywFVRW0EQsimRdGsWkXQLgpDM3bt3KV++PF3rNGXlkKlSh5Nu2SHhBlizZg3v37/H29tbY+Zbjho1iitXLrDLtyBGRuqb9x8ermTp0recOR1B7961efbsAyEh73ny5C2RkTGJ+xkaKrCwsMDCwoKcOXNiYWGJpaUlZmZmGBkZYWhomOyhra1NbGwssbGxxMXFJf7/q1evkMvlREdHExYWluTx/uMnnj5/xvOnT4mJikpsX0tfH53ceVHlt0argA3aBQom/lduap7q64s84MvnpXOYuusghUqXzcy3MonLh/azZvgALJuNxbB4bbW1m5LYt4957TWCspVqM3nJFo24yZQWN66cYf6ojuQxgtM9FBQ00+zEe9DBaDbegoCr1yhRImuPZhIEIXUi6dYsaf08pLv9LQiC2tnb27N06VIGDhxIjVIVaV+7kdQhpVl2SbivXr3K69evGTZsmMYk3EqlkmvXrlCrtpFaE24AIyM5Hz/EY2amYMKE/w2z/9LT/JknT0J5/vw9Hz5E8OFD5P//9zUPHz7i2rUowsKiiIyMITIyhri4+LQ1KtcClQodY2PkhobIDAxBYYhKoQCFEVqlHNGp3xz9XFZoWeVBK3ceZCZmP5Qs6tdtRPjyedwPuKTWpLtSo2Zsnj6JsEu7UDjUkjTR1c1pg1Hltlw778OR3V40bO0qWSzpUcaxFtPc/Jg9tA3VNkRwxtWQIjk0M/HeczcO94BYVq9eLRJuQfiFhYSEEBoaqpa2LC0tsba2Vktb2YFIugXhF9O/f3/Onj3LoJUzKWlTlOIFbaUO6bv+vHSa9nNGZPmEOzo6mqNHj2Jvb0/79u2lDifR3r17iYmJp2FDY0naf/kynqJFk96AkMlk5MplQq5cJjg6Fk7TeeLiEoiKiiUyMpaoqFji4xPQ1dVGR0fr/x/aaGvLqVF7LgmV62A6cU5mvJwk5AoFckNj7gdcxqVX/0xv799cevXDb+kCYkJuoV+wtFrb/i/zml2Jun+eDcunUbJ8dfLbFJU0nrQqXqYKs9f+ydQBTam2IYLTrgrsLTVrBYjHH5X0PhBHyxbNGTBggNThCIIgkZCQEOwdHIiKjFRLewYKBXeDgtKVeLu6uuLl5QWAtrY2BQoUoHXr1sycOTPx2s7X15fff/+d69evk5CQQOHChWnbti1DhgwhR44cieeKiooib968yGQynj9/nmxKjY2NDU+ePAFAX1+fggUL0rt3b8aMGSPJjWiRdAvCL0Ymk/HHH39w88YNOs4dxbnl2zBRGEkdVqq+Jtw5cuSgR48eWTbhBvD29iYhIYEpU6Zo1NJtPj7eWFpqU7asNMPUwsNlFC1q9dPn+ZJYG2Bi8u25rDpaMuJjYr65T0aSFyzE/SsXUKlUav1D37jfYPavXkHYZT/Jk26AXJ3m82pNL5ZOG8BCj0Po6GSNpeRsHcqwYMNRJvZ2ofqGSPx7KCiVWzN+f6PiVLTeGYupZR48NmzMMkP3BUHIeKGhoURFRtJ38e/kLZK5NzZfBD9g3ZihhIaGpru3u2HDhmzcuJG4uDjOnj1Lnz59iIiIwN3dncmTJ7Nw4UJGjhzJvHnzyJs3Lw8ePGDNmjVs3ryZ4cOHJ57H19eXkiVLolKp8PPzo0uXLsnamjVrFn379iU6Oprjx48zcOBATExM6N9fvTfBQSTdgvBLMjQ0xNfPD8eKjvRbNg3vSUs08mLt4MXTdJibPRLuO3fu8PTpU3r16kWRIkWkDifR+/fvefbsKV27mSOXq//fQGyskujoBAoXzqW2NnW0tYiMjvr+jhlEt3INIv4O5NWjYPIUVt/IErlcTtXmrTizYxuxoSHoWko7DFBbYYqZyxCeHFzK9vWL6TpwkqTxpEfBIg785nWSca71qbkxkhPdFVTIK23irVKpGPRnDEHv4MLFfUl6gARB+HXlLVKUgiVKSR1GqvT09LCy+nKjvXPnzpw6dYo9e/bQs2dP5s2bx/Lly5Mk1zY2NjRo0ICPHz8mOY+Hhwddu3ZFpVLh4eGRYtJtbGyc2FafPn1wd3fn6NGjkiTdmjk5SRCETGdnZ4fXJi/2/nWc5X5eUoeTzMGL/tkm4Y6Pj2ffvn1YW1vTvXt3qcNJYs2aNSiV4OIizWiH27ejUalUFCmivqRbV1cL1Jh06zs3BeBBwGW1tflVx4nTkWvp8PnybrW3nRKjEnXQK1gWv02/c/v6BanDSZd8BW1Ztu0s8VoG1PaM4MLTNNYQyCRrr8bhGRjLH+vWU7ZsWUljEQRB+FEGBgbExcWxdetWjIyMGDRoUIr7mZmZJf5/cHAwFy5coH379rRv357z58/z8OHDVNtQqVT4+/sTFBSEjhpXEvk3kXQLwi+sZcuWjB8/nqmeKzgVeFHqcBJ9SbhHZouEG2DHjh3ExMQwdepUdHU1a0itv/9JypY1IHduaf4I3Qj8smRYkSK51damrq42qij1Jd3aOXOjpTDkfsAltbX5lb6hESWq1yD89kkSwj+ovf2U5GwzFW19Q5ZNH0hEeJjU4aRLrjwFWOFzHpmeMfU2RXL6sTSJ98Vn8Qw7HMvgQYPo1q2bJDEIgiD8rMuXL7Nt2zbq1avHgwcPKFy4cJqS4g0bNtCoUSPMzc3JkSMHDRs2ZMOGDcn2Gz9+PEZGRujp6VGnTh1UKhXDhg3LjJfyXSLpFoRf1D///MO5c+eYO3cu9erWpeuCcTx6+UzqsJIk3Fm5aNpXDx8+JDg4mA4dOmhcVeHLly/z+XMEjRpLU0AN4P6DGPT1dbCyMlVbm3p6OqjU2NMNQJ583L0kTc9ut5nzQaUi7NoBSdr/L7m2LhZtpvLx3Vv++G2C1OGkW46cVrjtvIiOoRkuWyI5GqzexPvFZyWtd8bh6OjI0mXL1Nq2IAjCzzpw4ABGRkbo6+tTtWpVatWqxe+//57muicJCQl4eXnRtWvXxG1du3bFy8uLhISEJPuOHTuWwMBATp8+TZ06dZg8eTLVqlXL8NeUFiLpFoRf0O7duylXrhwLFixAS0sLn+3bMbfMQfs5IwiPUk/Vy5T8N+FWKBSSxZIRlEolvr6+WFpaSjJ/6HvWr1+PgYGMGjWke5+fP4ujUKFcaq0poK+vjSomWm3tAeiVr8T7l8/58PqVWtsFsMxXAGuH4ny+uh9lrHpfd2r085dAUdqFs0f9OHtUM4a+p4eJmQVuOy5iYGJBk22R7L8Xp5Z2o+NVtNoRi9wwB7679xAbG0vevHlZvHgxKpVKLTEIgiD8jDp16hAYGMi9e/eIjo7Gz8+PXLlyYWdnR3BwMHFx3/4+PXLkCM+fP6dDhw5oa2ujra1Nx44defbsGUePHk2yr6WlJba2tlStWhVfX1+WLVvG8ePHM/PlpUok3YLwC0lISGDy5Mm0bt0aFxcXvL29ATA3N2fvvn08fvOCfsumSnLxduDiqWyVcAPs2bOHyMhIJk+enGwpC6nFxsZy9+5t6jcwRk9Puj8Fnz5BsWI/X7k8PfT1dVGpsXo5gL5zMwAeXFX/vG6AzlNmoYqNJOJvaS42UpLDeSDaprlwXzCGt6+kH2WTXkYmZqzadQlTi9y02h7FrjuZm3irVCoGHIjmxhsVe/YdwMrKCiMjI1xdXRk7diydOnUiIiIiU2MQBEH4WYaGhtja2lKwYMEkQ8k7d+5MeHg4q1evTvG4r4XUPDw86NixI4GBgUkeXbp0wcPDI9V2zc3NGTp0KGPGjJHkOlck3dmEjY0NMplMPL7zsLGxkfqjksyHDx9o2rQpCxYsYP78+ezcuRNj4/8NKy5RogSbt2xm97ljLNq+Tq2x7b9wko5zR2WrhPvFixfcvn2bpk2bUqlSJanDSWbLli3ExSklW5sbvowEiIpSqrVyOYC+vg4qNff46hSxQ1tPX5JiagB2FSuTI08+wi75olImfP8ANZDJZOTqNJ+4uFiWzxicbFhgVmCgMGLVjktY5M5P+51RbL2ZeYn3ykuxeN2IY916DypWrJi4fd68eezYsYMDBw5QtWrVbxYT+lWIayJxTSRkPZUrV2bcuHGMHj2acePGceHCBZ48ecKJEydo164dXl5evH37lv3799OjRw9KliyZ5NGjRw/27dvH27dvU21j8ODB3Lt3D19fXzW+si/EkmHZxJMnT8TQsjSQyTRvWSx1uHnzJq1ateLDhw8cOnQIZ2fnFPdr2bIlM2bMYMaMGdjlL0SrGg0yPbb9F07Sad5oLCws6NGjR7ZIuJVKJT4+PpiYmDB06FCpw0nR3r17sbbWwc5OusJujx/FkZCgVGsRNQCFQhdVbKxa2wRQWebk7mXpKna3GjEWj/EjiHxwEcNi1SWL4990THNjUqsHQSfXs8/bnVZdh0gdUrrp6uuzcvt5RnWtTbfdj4iOV9G7fMb+Xu27F8eoY7GMHj06xcJp7dq1w8HBgZYtW1KxYkW8vb1xcXHJ0BiyEnFNlDa/6jVRdvci+EGWbWPhwoVUqFCBVatW/f/qKkqKFClC27Zt6dGjBx4eHhgaGlKvXr1kx9apUwdjY2M2b97MqFGjUjx/zpw56datGzNmzKB169bI5errf5apxLdStiCTycQfmDT4Fd8nHx8fevfuTdGiRdm9ezeFChX65v5KpZIunbuwe7cfB+aspUbJCpkW2/4LJ+k0dzQWltkn4QY4fPgwly5dYv78+Tg5OUkdTjJPnjyhU6eO9B+Qg7ZtzSSLY9euj6xxf8/hw+PUmnhPnLidXbsuk+vYFWRa6rv3/GnRdKKP7Mct4A4KYxO1tftvgysWJ0GRC6vuSzXqgvvlplHEvwlmocchihQrLXU4PyQ+Pp7R3evx9NE93BrpM7hSxiTel58n4LQpmkZNmrFj5y60tFJfH/zDhw906dKFI0eOMG/ePMaNG6dRn7O6/Ip/63+EeJ+ypujoaB49ekShQoXQ19dP3B4SEoK9gwNRkeqpzWOgUHA3KAhra2u1tKepUvs8/kv0dAtCNhUfH8+ECRNYsmQJXbp04Y8//khTUiuXy/H08uT169e0mz2ck7954WBdJMPjy64J97t37wgICMDJyUkjE274sja3TAb160s3tBzgblAMWloyrK0t1dquoaEeAKqYGGQK9f0Z1K/TkOjD+wi+fpVSteqord1/q9+tJ/tXLSfmeRD6+YtLEkNKcneYw0v3Hiyd2p+lm06gp5/1vg+0tbVZtuUU43o1ZMihm0TFqxhTTe+nzhn8XklTnxjKla/Ilq3bvplww5c5i/v372f69OlMmDCBgIAANm7ciJGR0U/FIQiC5rO2tuZuUBChoaFqac/S0vKXT7jTQyTdgpANvX37lo4dO3L69GmWLVvG8OHD09Xboaenx+49u6lVsybNpw3Cf/Em8llmXE9kdk24AbZu3Yqenh5jxoyROpRUXbp0garVDDEz+/YFfGYLCYkjXz4LdHTUG0di0h0dDQr1LUmnU6EyWjo63A+4JFnS3WzwSA6tc+fzZT+NSrrlegrMm47l1e45eLnNpt+Y+VKH9EPkcjmLNhxmysBWjD12iag4mFJL94d6m0MjlTTyjsEsdwH27j+Q5mKMWlpazJkzh/Lly9OjRw+qVKnCnj17sLW1TXcMgiBkLdbW1iIR1lCikFo29ubNG/r374+1tTV6enpYWVnh4uLChQv/m1OYWrGRBQsWAPD48eNUC3BcvHgx1babN2+OtbU1+vr65MmTh27duvHixYvvxhwUFETz5s0xNTXF2NiYKlWqEBISkvj8qFFfim1ZW1vj4+OT5NgdO3bQrFmz9L5N2c7Vq1epWLEit27d4vjx44wYMeKHLvhMTU05dPgwcj1tWk4fzMfwsAyJb+/5E9k24T5z5gwfPnxg1KhRWFhYSB1Oio4ePUpUVAyNGknbyw3w7p1S7ZXLAYyM/r/3Uc3LhsnlclSm5tyTcF63trY2lRo3I/LBReLeP5csjpQobCthYFeNw74buXpec6qsp5dcLmfe2r2UdqzFNP8YJp+MSfcQ3qg4FS22x/JRZcyhI8ewtEz/aJDWrVtz6dIlYmNjcXR05NChQ+k+hyAIgpAxRNKdjbVp04YbN27g5eXF/fv32bdvH05OTrx//z7JfrNmzeLly5dJHv8t/nT8+PFk+1SokPpc3zp16rBjx47ECoHBwcG0bdv2m/EGBwdTo0YN7O3t8ff358aNG0ydOjVxfsT+/fvZtm0bR48eZeHChfTs2ZN3794BX5YRmDx5MqtWrfqRtyrb8PT0pHr16uTOnZurV6/+9PDmvHnzcvjIEZ5/eEuHOSOJifu54lN7z5+gy/wx2TLhDgsL4+zZs1SsWJHGjRtLHU6qNm3ahJmZFo6O0i9hFhWlwtZWvUXUAExMvrx2VbT616zWLlaCRzdvEBer3iXL/q3zlFnItLQJC9grWQypsWg2Dm1DM1bOHMrH96lXoM0KZqzcgWMNF+afi2XUkbQn3glKFd32xHD9jYwDfx6iSJEfn95TvHhxrly5Qo0aNWjSpAlz5879Jefwfq+Kt6urKzdu3EBPT499+/YlOdbX1xd9fX3+/vvv755nxowZKbY/Y8YM7O3tMTQ0xNzcnPr163Pp0qXvxu3r60vx4sXR09OjePHi7N6ddE37rVu3UqBAAXLkyMHYsWOTPPf48WPs7OwIC8uYG+aCIPwckXRnUx8/fuTcuXMsXLiQOnXqULBgQSpVqsTEiRNp0qRJkn2NjY2xsrJK8jA0TDrk0sLCItk+/15b779GjhxJlSpVKFiwINWqVWPChAlcvHjxmwveT548mcaNG7No0SLKlStH4cKFadKkCblyfVlOKCgoCCcnJypWrEinTp0wMTFJXBpl3LhxDBo06JcdUhMbG8uQIUPo2bMnXbp04cyZMxQoUCBDzu3g4MC+/fu4dO8mfZZMQalU/tB5EhPubFSl/N+2bt2KXC5n0qRJGlu4KCwsjMePH+LS0AgtLWljDA2NJzY2Qe3LhQEYG/9/0q3mnm4A/Vr1SIiP4/Gtm2pv+yuFiSn2lSoTfvMoCZGfJIsjJXK5nJztZhMR8ZlV80Zm+QRx4m9e1KjfkuWXYhl4MBplGl7PmKMx7L4bh8/2HRmy3KCpqSl79+5l2rRpTJkyhbZt2/L58+efPm9W8u8Og+XLl2NiYpJk24oVKyhTpgxTp06lX79+iTf037x5w4ABA5g5cyYODg5Jjhk9ejQlSpRIsi21aUV2dna4ublx69Ytzp07h42NDc7Ozt9c2ujChQt06NCBbt26cePGDbp160b79u0Tk/XQ0FD69OnD4sWLOXLkCF5eXhw8eDDx+IEDB7JgwQJMTKQp2igIQlIi6c6mjIyMMDIyYs+ePcTESNejAvD+/Xu2bt1KtWrVUk3UlUolBw8exM7ODhcXF3LlykXlypXZs2dP4j5lypQhICCADx8+cPXqVaKiorC1teXcuXNcu3aNYcOGqekVaZZXr15Rt25d/vjjD9zd3Vm/fv03qyf+iBo1arBt2zZ8zx5hosfSdB+/9/wJuswbjaWlZbZMuK9cucKbN28YNGgQefLkkTqcVHl4eJCQoJJ0be6vrl79Ul1V3cuFwb96uiVIuvVq10OupcWDq9Ks1/1VtxkLQKnk8/U/JY0jJbq5C2Hk2Jqrfx3n6J7NUofz00bNXkOdJh1ZezWOXnujSVCmnngvvxjD8kux/P67G82bN8+wGORyOTNmzGDv3r0cO3aMypUrc//+/Qw7v6b7d4eBqakpMpks2TaAiRMnYm1tzeDBgwHo378/RYsWZcyYMWhpaSU5xsjICG1t7WTbUtK5c2fq169P4cKFKVGiBEuXLiUsLIybN1O/+bZ8+XIaNGjAxIkTsbe3Z+LEidSrV4/ly5cD8PDhQ0xNTenQoQOOjo7UqVOHO3fuALBt2zZ0dXVp3bp1Br6LgiD8DJF0Z1Pa2tp4enri5eWFmZkZ1atXZ9KkSSl+wY8fPz4xSf/68Pf3T7JPtWrVku2TkJDwzRjGjx+PoaEhFhYWhISEsHdv6kMZ37x5Q3h4OAsWLKBhw4YcPXqUVq1a0bp1a06fPg2Ai4sLXbt2xdHREVdXV7y8vDA0NGTgwIGsXbsWd3d3ihUrRvXq1bl9+3b637Qs6MKFC5QvX56HDx9y+vRpBgwYkGm9rK1bt2blypWs3L2JFX6b0nxcYsKdM2e2TLijo6M5fvw4Dg4O351CIbWjR4/gUFyfAgWkW5v7qzu3v9wM/NV6uuW6+siMjLl3JfWaGOpgVagw+WyL8jlgL8o4aW/MpsS8dne0LfKzYdkUnj/5R+pwftrQKctp1KYnm27E0cUvmriE5In31ptxjDoakzhyKzM0b96cy5cvo1KpcHR05MCBA5nSTlalpaWFl5cXe/fupXPnzhw5cgRPT8/vVo1Pj9jYWP744w9MTU0pU6ZMqvtduHABZ2fnJNtcXFw4f/48AEWLFiUyMpLr16/z/v17rly5QunSpXn//j3Tpk3Dzc0tw2IWBOHnierl2VibNm1o0qQJZ8+e5cKFCxw+fJhFixaxfv16XF1dE/cbO3Zskp8B8uXLl+Tn7du34+DgkGTb9/4IjR07lt69e/PkyRNmzpxJ9+7dOXDgQIpJ4dchyy1atGDkyJEAlC1blvPnz7NmzRpq164NfJkX9e85UzNmzKB+/fro6OgwZ84cbt26xYEDB+jevTtXr15NNTalUsn48eN5+fLlN1+DJouPj8fPz49KlSqxc+dOtfSwDhkyhOfPnzNhwQLyWOSkfe1G39x/z7ljdF0wNjHhTmv13axk27ZtJCQkMHXq1Ay9MMtof//9Nx8/fqJ3b/Uuz5Wahw9jyZnTOLGSuDqZmX258SPFnG4AeSFbHgRcQqlUIpdLd++74+SZLHHtSMTtUxiXbShZHKnJ3WkBr9b2Ztm0gSzw+BNt7dSnNGUFfcfMR1dfnx3b3ImOV7G9rQF62l/+Hu4OiqPH3mhce7gyf37mVm63t7fn0qVLdO/enWbNmjF9+nRatWqVqW1mNnNz8wybXubg4MCIESNYsGABCxcuxM7OLkPOe+DAATp27EhkZCR58uTh2LFvF8h79eoVuXMnHQmUO3duXr16BXx5zV5eXnTv3p2oqCi6d++Oi4sLvXr1YujQoTx69IjmzZsTFxfHjBkzNP6msCBkdyLpzub09fVp0KABDRo0YNq0afTp04fp06cnSbItLS2/u5RIgQIF0r3ciKWlJZaWltjZ2eHg4ECBAgW4ePEiVatWTXFfbW1tihdPuoSNg4MD586dS/H8d+/eZevWrVy/fp0NGzZQq1YtcubMSfv27enVqxdhYWHfnMv0/PnzLJ10w5dq7rNmzUJXV309l/PmzeP58+f0WTIFE4URDR1rprjfl4R7XLZOuP/++2+ePXtGnz59KFSokNThfNPatWvR1ZVR20kz1ut9/Toee3tpajCYm/9/0i1BTzeAXtVahAcG8OLBPfIXc/j+AZmkRLWamOWyIuyyL0ZlnJHJNGvwm7ahGWYNBvHo0HJ2eCyhc/8JUof003oMmY6enoJdG5fQcnsUfu0NOBuSQEe/GNq0acu69evVciPGxMQEPz8/5s6dy/Tp05k5c2amt5mZtLW1effuXYbMXw4PD2f79u0oFArOnj3LuHHjMiDCLwVmAwMDCQ0NZd26dYnzs7/WrUnJfzspVCpVkm2tWrVKcsPE39+fW7du4ebmhq2tLd7e3lhZWVGpUiVq1ar1zbYEQchcIun+xRQvXjzJPGl1+VoMJ7X55bq6ujg6OnLv3r0k2+/fv0/BggVTPF+/fv1YsmRJ4lD3r0Xavv73WwW/5HI527Zt+6HX8quTyWR4eHgQ9ukTHeeOZNe0ldQvXy3JPrvPHaPbgnFY5rTMtgl3fHw8Bw4coGDBgnTr1k3qcL4pPj6emzev41THEIVCMxKryEgZtrbqXy4MwMjoS80DqZJugwZNCV+zjAdXL0uadAM0HzKCTdMmEBV8BYVtZUljSYlRqXpE3D6Fr9cKylWpg0MZzYsxvTr2HYuevgFb3edQ2yuSv9+qaODswuYtW9Q6WkYulzN16lS6dOmSWDgsq8qRI0eGFQwbO3Ysurq6nD9/nqpVq7Jp0ya6d+/+0+c1NDTE1tYWW1tbqlSpQtGiRfHw8GDixIkp7m9lZZXYq/3VmzdvkvV+fxUTE8OgQYPYsmUL//zzD/Hx8YmjBO3s7Lh06ZJYVvUXEBISQmhoqFrasrS0/GULGP8IkXRnU+/evaNdu3b06tWL0qVLY2xsTEBAAIsWLaJFixZJ9v38+XOyL3aFQpHkD9i7d++S7WNmZpZiwa7Lly9z+fJlatSogbm5OQ8fPmTatGkUKVIkSS+3vb098+fPT7xLO3bsWDp06ECtWrWoU6cOhw8fZv/+/cnmlwOsW7eOXLlyJRaaqV69OjNmzODixYscOnSI4sWLY2Zmlq73TEg7HR0dtu/YQZvWrWk3ezi7p7vhVPbLxbDfuaN0XzA+Wyfc8GXKRWxsLFOmTPlmJX9NsGvXLmJjE2ikAQXUAKKilMTExFOkiDS9LnK5HORykKjIpNzMHC2FIfevXKJO5x6SxPCVU8du7Fg4l7BLvhqZdAPkbDuNl6u6sXTqAJZvO42hUdavxtyq2xDehb7k8E4PSpUqyc5dvmodsfRvhQsXpnDhwpK0rWmOHTvG+vXrOXv2LGXKlGHevHmMGDGCBg0aZPgULpVK9c1Ct1WrVuXYsWOJU+4Ajh49SrVq1VLcf/bs2TRq1Ijy5ctz/fp14uPjE5+Li4v7bh0eIesLCQmhmL0D0VGRamlP30DBvbtB6Uq8v9Zkgi8jVHLkyEHp0qXp1KkTrq6uiSN9bGxsePLkSbLj58+fz4QJWXPUk0i6sykjIyMqV67MsmXLCA4OJi4ujgIFCtC3b18mTZqUZN9p06Yxbdq0JNv69+/PmjVrEn+uX79+sja8vb3p2LFjsu0GBgb4+fkxffp0IiIiyJMnDw0bNsTHxwc9vf/N37x37x6fPv1vuZpWrVqxZs0a5s+fz7BhwyhWrBi+vr7UqFEjyflfv37NvHnzEouJAFSqVInRo0cnLjH29RdayDx6enrs8vWlRfPmtJk1jL0zV/Hm03u6LxhPzpyWdM/GCXdwcDAPHz6kY8eOlChRQupwvmvXrp1YWWlTslTGVrX/UYGBUahUSJZ0A8jkclQxUdK1n9+au5fOJxsuKgWnjl057OFOzMv76OXJmPmrGUmurUuOVlMI3T6FdUsmMmL6KqlD+mkP7lzn9J87qFqtBocPH8q235VZSVhYGL1792bMmDFUqVIFgGHDhuHr60u/fv3Yv3//D503IiKCuXPn0rx5c/LkycO7d+9YvXo1z549o127don7de/enXz58iXO6R8+fDi1atVi4cKFtGjRgr1793L8+PEUp9zdvn2b7du3ExgYCHzp1JDL5Xh4eGBlZcXdu3dxdHT8ofiFrCM0NJToqEgsmo5GxyJjlo1NTdy7p7w7sITQ0NB093Y3bNiQjRs3kpCQwOvXrzl8+DDDhw9n165d7Nu3D23tL+nprFmz6Nu3b5JjjY01o/PgR4ikO5vS09Nj/vz53y3I8vjx428+b2Njk+51UkuVKsXJkye/u19K5+3Vqxe9evX65nG5c+dOMe6Ubh4ImUtfX589e/fSrGkzmk8bRGxcLDlz5szWCbdSqcTX15dcuXLRr18/qcP5rjdv3vDy5QtcXc0lT+6+unXzy7BuKZYL+0oul0tWSA1At0IVPm3bwLsXz7HMl1+yOABajxzHsU0ehF3eTc4W4yWNJTUG1qVQlGrAmcO+VKzegBr1W0od0g8LvneT2SM6UrJECQ4d+jPVZaYE9RoxYgSmpqZJ5rfL5XI2btxImTJlfniYuZaWFnfv3sXLy4vQ0FAsLCxwdHTk7NmzSW7ahoSEJJnPX61aNXx8fJgyZQpTp06lSJEibN++ncqVk45I+TrdbtmyZRgaGgJfOj88PT0ZPHgwMTExuLm5JSuQK2RfOhYF0LNKXx0mddLT08PK6sv0snz58lG+fHmqVKlCvXr18PT0pE+fPsCXBPvrftmBSLoFQfgpBgYG7Nu/j8qVKvH37ds41amTbRNugN27dxMVFcWiRYsyfD30zODu7o5KBQ2cNefu8D//xGBkpIeFhXTJhlxLLtmcbgADl2ZEbtvAg4BLkifd2rq6lG/gwpU/DxDv5Iq2qXQ3Q77F3HkQ0Y+u4j5/DPalHLHMnfWSiMf/3GH28A7YF7PjyJHDWbrXJqtydXVNtmILwIYNG1Lc39bWloiIiGTb/7uaSmr09fXx8/P77n4pTaVr27btd6uOy2Qy/vrrr2TbmzZtStOmTb/briBogrp161KmTBn8/PwSk+7sRjMq6giCkKUpFAouXrqEk5MTu3fv/u4Iiqzq+fPn3Llzh2bNmlGxYkWpw0mTs2dPU6Gigpw5Nece64sX8RQunFvSnnctuUzSnm7tAjZo6xvw4OplyWL4t67T5iGTywm7slfqUFIll8vJ1Wk+sbExrJg55JvFMjXRgzvXmTGkDUUKF+Lo0SOYmppKHZIgCILGsLe3T3L9OH78eIyMjJI8Uro5lVWIpFsQhAxhaGjIwYMHqV69Ot7e3jx69EjqkDKUUqnEx8cHU1NThg4dKnU4afLXX38RERFF40aaNXz182ews5N2yJiWlgxVrDSF1L5S5bIi6OL57++oBsY5cmBbvgLhNw6TEB0udTip0jGzwrhmd25fv8A+7zXfP0BD3L52nhlD2+JgX4wTJ45jbm4udUiCIAga5b81TsaOHUtgYGCSx3+nV2QlIukWBCHDKBQKDhw4gJOTE97e3gQHB0sdUoY5cuQI4eHhTJgwIcsMCfXw8MDQUE6VqoZSh5IoPl5JVFSCpEXUALS1pO3pBtApXZ7Xjx8S/uG9pHF81W3GfFQJcYQHHpI6lG8yrdQKXauibHGfy6P7f0sdznddPX+c2aM6U7VKFY4fPyYSbkEQhBQEBQVRqFChxJ8tLS0Tl9n7+sjK0xdF0i0IQoYyMDBg79691K9fn+3bt3P37l2pQ/ppoaGhXL16lbp161KrVi2pw0mT6OhoHjy4i7OzEbq6mlFADeD+/ViUSpWkRdQAdLXlqKKlq14OYNCgCQAPrgVIGsdX+e3ssbIpTNiVPagS4qQO55tyd5iLTEuXJVP6ESPx5/gtfx3fy4LxrjR0ceHgwQOiaJogCEIKTp48ya1bt2jTpo3UoWQakXQLgpDh9PX12b17Ny1atGDnzp0EBGhGUvGjtm7dir6+PqNHj5Y6lDTz9PQkPl5Fw0aa1SsfGPglQSpcWNqebh0dbZA4WdMuUQYtXV2NmdcN0H78NJSRn4i4c0bqUL5Jrq/AvMkoXj5/zOZVc6QOJ0Un9m9j2fSBdOzQgV27dmaJwouCIAiZLSYmhlevXvH8+XOuXbvGvHnzaNGiBU2bNk2yQsDnz5959epVkkdYWJiEkf8czamsI/yUggULasxyQJqsYMGCUofwy9DT08PHx4fhw4ezatUqwsPDqV27dpb7d3rq1Ck+fvzI1KlTyZEjh9ThpNmBAwcoXESXIkX0pA4liXt3Y9DR0SJ/fmnfSz09bVRR0ibdcrkclVkO7l3SjHndAGXr1sfYwpKwS7swLFlXo39fDe2qEmFblT93eVC+Wj3KV60rdUiJ9vv8wcYV0+jfvz+rV69OshSUIAhCZop791Sj2zh8+DB58uRBW1sbc3NzypQpw8qVK+nRo0eS78qUlgLu378/a9ZknXoe/yaS7mwiu1aLFrI2LS0tfv/9d/LmzcvkyZP5/PkzTZo0yTIXoGFhYZw/f55KlSrRqFEjqcNJs+DgYN6/f0fnzhZSh5LM02dxFCxoiZaWtP8GdHW1JZ/TDaBTvDRPzpwgJioKPQ2Zq9ak/xB85s0g+tE1DApXkDqcb7JsMZ6Xq7qxctZQVmw7jam5paTxqFQqdm5Yis/63xg3bhwLFizQ6BsX2ZXoiEgb0RGRvVhaWqJvoODdgSVqaU/fQIGlZfq+cz09PfH09PzuftkxrxFJtyAImUomkzFp0iTy5MlD3759iYqKolWrVujo6Egd2ndt2bIFLS0tJkyYkKUu4Nzd3ZHLoU5dzZs/+uG9ipo1pa1cDqCnp4Pqo/RzgfVq1yfG/yiPbl7HvnI1qcMBoH733vgt+42wy34an3TL5XIs28/mzeZRrJ43igmLvCT7XVUqlXj9PpP9PmuZN28eEydOlCQOIXtesAvC91hbW3PvbhChoaFqac/S0hJra2u1tJUdiKRbEAS16NmzJ7ly5aJt27Zs3bqVDh06aHQVysuXL/P27VtGjRpFnjx5pA4nzZRKJVevXqZGTUNMTLSkDieZ6Gjpi6gBGBjooIr5LHUY6FWvg1xLi/sBlzQm6ZbL5dRs24ETmzcQ+/ohurkLSx3SN+nlLoxRxZZcObeL4/u20qBFV7XHEBMdxcrZQ7l46iBubm4MHjxY7TEIgiBYW1uLRFhDZY0xnoIgZAtNmjTh1KlTfPr0CS8vLz59+iR1SCmKjIzk+PHjlChRIstV0jx48CDR0XE00rACagDPn8cSFyf9cmEA+vq6qGKkXacbQK6tjczYlPtXLkkdShLtxk5Grq1D2JXdUoeSJuZOrujkyMf6pZN58fShWtsO+/iOmcPbE3jhBH5+fiLhFgRBEJIRSbcgCGpVpUoVLly4gI6ODp6enrx9+1bqkJLZtm0bSqWSKVOmZJn5519t27YNCwstypXTvFEE1659Gc6tCT3dCoUuqrhYqcMAQKtoMf65doWE+HipQ0mkq69PGae6RNw5TXyYeoYq/qxcneajVMHSqQOIj1fPkmcvnz5iUr+mvHv5BH9/f1q2bKmWdgVBEISsJWtdTQqCkC3Y29tz6dIl8uXLh6enp0bNv7t16xYvXrygT58+2NjYSB1Ounz8+JGnTx/TqJExWlqaNwc96E4MMhnY2OSUOhQUCl2Ij0eVkCB1KOhVrU1sdDTP7gVJHUoSXafPA5mMz1f3SR1Kmmgb5cC0Xn8e3r/Fzg1LM729O4EXmdivCUYGuly8eIFKlSplepuCIAhC1iSSbkEQJJE3b17OnTtHpUqV2LJli0as5R0bG8vBgwexsbGha1f1zwv9WX/88QcJCeDsonlDywEeP47FysoMfX3pi+gpFF+WUlPFSj/EXL9+E2RyOfcDNGuIuXluKwqVLM3n63+ijImUOpw0MS7jjF6BUuzyXE7Qjcxb//zUwe3MGNaO8mXLcOHCeQoX1ux574IgCIK0RNItCIJkzMzMOHr0KP379+fgwYP8+eefJEjY87hjxw5iY2OZNm0a2tpZr87kiRPHKFVan7x5pU9qU/LmTQJ2dppRlM7I6P/XL9eAZcPkRkbIDY24H5B5SeKP6jZ9Lqq4GMJvHJE6lDTL1W4GWnoKlk4bQGRExhbLUyqVbHGfx+9zhtO9WzeOHDmMQqGgYsWKHD16NEPbEgRBELIPkXQLgiApHR0dVq1ahbu7O9evX2fbtm1ERal/KacHDx7w8OFDOnfujL29vdrb/1nXrl0jLCycxo01s5cbICoKbG2lL6IGYGSkD4AqRvqkG0BWwIZ7l86jUqmkDiUJm1JlyFnAmrAru1ElaM6c82+Ra+uSo9UUPoS+Zv2SSRl23qjICJZM6cvuzb+zePFi1q9fj66uLnp6elhZWdG2bVv+/vvvDGtPEARByD5E0i0IgkYYMGAAx44d48OHD3h4ePDmzRu1ta1UKtm9ezdWVlb06dNHbe1mpHXr1qGnL6NmTUOpQ0lRWFg8MTEJGlFEDcDYWLOSbr1K1Qj/+IE3Tx5JHUoybcdMIiH8PZH3/pI6lDQzsC6FQcl6+B/ayfkTPz8n/fmTf5jYtzE3Lvuze/duRo8enbgeuEwmw9vbm8KFC9OkSRNevXr10+0JgiAI2UvWGz8pCEK25eTkREBAAM2bN2fDhg00a9aMEiVKZHq7fn5+REVFsXjxYvT19TO9vYwWGxvL7ds3cXY2Ql9fM++lXrv2JbnVhOXCAIyNv1R315SkW9+5GRGea7h/9Qq5bTRrfrBjo6Zsmp6DsEu7UDjUSkw2NV0OlyHEPL7GqvmjsStVEctceX/oPBf9D+I2ZzgF8ucn4MoVHBwcku1jbGzMgQMHqFy5Ms2aNeP06dMoFIqffQmCIAjpEhISQmioelacsLS0FGuCp4NIugVB0AgxMTEsWLCAfv36cenSJXr37s327dt58eIF9erVy7Slu54+fUpQUBAtW7akfPnymdJGZvPx8SEuTolLQ80dWv7331+S28KFNaynWwPmdANoW+VF20DBg4BL1GzTQepwkmnYuz++S+YTE3IL/YKlpQ4nTeRyObk6zuf1hkGsnDWUGSt3put7JCE+nq1r5rFn62ratm3Hhg0eGBun/juWP39+9u/fT82aNenatSu7du3KcksOCoKQdYWEhODg4EBkpHoKXyoUCoKCgtKcePv7+1OnTp1Un3dycmLjxo0UKlSI69evU7Zs2cTnvLy8WLVqFbdv30Yul1OuXDnGjRtH06ZNk52/RIkS3LhxAy0trcTnzMzMWL58Oa6urul+nRlFJN2CIEhOpVIxdOhQvLy86NKlC3ny5MHb2xtHR0fGjRvH69evad26dYb3HCmVSnbs2IGZmRmDBw/O0HOr0+7dfuTPr4ODg57UoaTqYXAMpqYKzMw0o/fP1FSzeroBVFZ5uXvpvNRhpKhR30HsW7WcsMu+WSbpBtAxz4Nx9S78fdqT/T5radF5YJqO+/j+LUun9ifoxiWWLFnCyJEj09TDX758eXx8fGjRogXjx4/nt99++9mXIPwAGxsbnjx5InUYWV7BggU1aklP4dtCQ0OJjIxk+IxV5LcpmqltPXv8gBUzBhMaGprmpLtatWq8fPky2fZ9+/YxYMAABg0alOJxY8aMwc3NjTlz5tCyZUvi4uLYsmULLVq0YMWKFQwZMiTJ/sHBwWzatImePXum/4VlIpF0C4IguTVr1rBu3To2btyIra0t8GWe5OjRoylXrhzt2rVj/fr1tGrVigIFCmRYu4cOHSI8PJxFixZhZGSUYedVp+fPn/P69Wv69suh0cN+X76Mp2jRHxvemxlMTb/MfdeUnm4A3XKOhPp58+ntG0xzasYw/K/kcjlVm7fizI5txIaGoGuZdYYUmlZpS8Tds2xZPZfSjrUoVPTbU1bu3rzCkil90ZKpOHnyJLVq1UpXe82aNWPZsmWMGDECW1tb+vfv/zPhCz/gyZMnGleUMCvS5L8pQury2xSlSDHNuzmqq6uLlZVVkm1BQUGMHTuWSZMm0a5du2Q3eS5evMiSJUtYuXIlQ4cOTdw+d+5coqOjGTVqFC1atEhybTh06FCmT59Op06dNGrKoBj3JAiCpM6cOcOwYcMYNmxYisN+6taty/Xr1ylWrBienp6cOXMGpVL50+2+ffuW69evU69ePWrWrPnT55OKu7s7AA3qa/ZNg/BwGUWLWn1/RzUxN///pFsD1un+Sr/Bl2FyD65dkTiSlHWcOB25lg6fL++WOpR0s+o4D7S0WTq1PzHRKa+OoFKpOLhzPVMHt6JY0SJcv34t3Qn3V8OGDWPIkCEMHjyYI0eyznJrgiAI6vLx40datmxJ7dq1mT17dor7eHt7Y2RklOLNy9GjRxMXF4evr2+S7SNGjCA+Ph43N7dMiftHiaRbEATJhISE0LZtW2rWrMnixYtT3c/a2pqzZ88yefJk/P392bJlC2FhYT/V9rZt2zAwMGDUqFE/dR6pXbjwF5UrKzDPobkDl2JjlURHJ1C4sOb03pqYfJ3Trf7l6VKjW6w4Wnp63A+4JHUoKdI3NKJE9ZqE3z5JQvgHqcNJF7m+IeZNRvEi5CFb3Oclez4y4jPLpw/CY+kUhg4Zgr//KfLm/fGRGTKZjGXLluHi4kK7du24devWz4QvCIKQrSiVSjp37oyWlhZbtmxJdVTF/fv3KVKkCLq6usmey5s3L6ampty/fz/JdoVCwfTp05k/fz6fPn3KlPh/hEi6BUGQRGRkJC1btsTQ0JAdO3ago6Pzzf21tbWZNWsWJ0+eJDo6mj/++IO7d+/+UNsnT57k48ePjBkzhhw5cvzQOTTBiRMniIyMppEGr80NcPt2DCqVSmOWC4Mvw6WRy0GD5nQDqHJYcu/SBanDSFW3mfNApSLs2gGpQ0k3Q7tq6NtW5uCOdQRe8k/cfu9WAGN61OP6xeP4+PiwbNmy734fpYW2tjY+Pj4ULlyYpk2bpjiXURAE4Vc0adIkLly4wN69ezExMfnh86hUqhQT9t69e2NpacnChQt/JswMJZLubMbGxgaZTCYeqTxsbGyk/ogEvnxJ9unTh3v37rFnzx4sLS3TfKyTkxO3bt2ifv36bN++nYMHDxIXF5fm4z99+sSFCxeoXLkyzs7OPxK+xvDy8sLERE7lyppRnCw1NwK/9Cbb2mpOTzeATC7XqDndADolyvLsXhBR4eFSh5Iiy3wFsHYozuer+1HGatZ7lxaWLcejrTBh+YzBfHz/lh0bljJlYAsK5s/LjcBAOnTI2MrxX5cSi4+Pp3nz5kRERGTo+QVBELKa7du3s3jxYnx8fCha9NsF3+zs7AgODiY2NjbZcy9evCAsLCzFc2hrazNnzhxWrFjBixcvMiz2nyGS7mzma/EQ8Uj5IaqZaobFixfj7e2Np6cnZcqUSffxFhYW7N69m9WrV3Pz5k02bNjAmzdv0nTsli1b0NLSYsKECVm6SExkZCQPH/6DS0NjtLU1+3U8eBCDnp42VlZmUoeShEwu16jq5QAGdV1QqVQEB16VOpRUdZ4yC1VsJOG3jkkdSrrJ5dpYtptF+OdPDG5flR0ei5k0aRLnzp2lcOHMWR/961JiQUFBdOvWjYSEhExpR0idv7//N2/If13G6PHjx8hkMgIDA5Mc7+XlRaVKlTA0NMTY2JhatWpx4MCBFNsoWbJkss/YzMwMT0/PVOPz8/OjYsWKmJmZYWhoSNmyZdm8efN3X9etW7eoXbs2BgYG5MuXj1mzZiUpIHf9+nXKlSuHkZERzZs358OH/00LiY+Pp3z58ly5opk1JITsKTAwkF69erFgwQJcXFy+u3/Hjh0JDw9n7dq1yZ5bvHgxOjo6tGnTJsVj27VrR4kSJZg5c+ZPx50RRNItCIJaHT58mAkTJiRWqvxRMpmMgQMHEhAQgLm5OevXrycgIOCbFWsvXrxIaGgoQ4cOTVZBM6vx8PAgIUFFQxfNHloO8OxZPIUL59K4mxxyuQxVjOYUUgPQqVQdubY2D65eljqUVNlVrEyOvPn4fNkPlTJrJZAqlYq40Ccg18JAXx9/f39mzZqFtnbm1kQoX7483t7e7N27l/Hjx2dqW0JyX5cq+u9j7dq1yGSyVJcqgi/LFfXv35/27dtz48YNLl++TM2aNWnRokWKhZq+LleUHjly5GDy5MlcuHCBmzdv0rNnT3r27PnNInxhYWE0aNCAvHnzcuXKFX7//XcWL17M0qVLE/fp06cPdevW5dq1a3z8+JF58/5Xz2Dx4sXUqFEDR0fHdMUqCD8qNDSUli1b4uTkRNeuXXn16lWSx9u3b5MdU7VqVYYPH87YsWNZsmQJwcHB3L17lylTprBixQqWLFnyzVVtFixYwIYNGzRilJHmVt4RBCHbefDgAR07dqRRo0apVqpMr1KlShEQEMCoUaNYu3YtwcHBNGnSJNkSYJGRkZw8eZJSpUrRqlWrDGlbSocP/4ldMT0K2iQvLqJpPn1SUbFiHqnDSEZLS/N6uuVyOTJTc+5d1tx53QCtho/FY/wIIh9cxLBYdanDSZOEyE98OLqKiHvn6datO7//vhJTU1O1tf91KbHhw4dja2vLgAED1Nb2ry4tSxWlRF3LFTk5OSX5efjw4Xh5eXHu3LlUewO3bt1KdHQ0np6e6OnpUbJkSe7fv8/SpUsZNWoUMpmMoKAgtm7dip2dHZ06dUrsnX/48CEbNmzg6lXNHVEj/Lhnjx9oZBsHDx7kyZMnPHnyhDx5kl8TFCxYEH9//2Tbly9fTunSpXF3d2fq1KnIZDLKly/Pnj17aNas2TfbrFu3LnXr1uXo0aPpjjejiaRbEAS1CAsLo0WLFlhZWbF169YvhawyiEKhYM2aNbi4uNCnT5/E/y9ZsmRi7+rWrVtRqVRMnjw5Q9uWQlBQEO/ff6R7j7TPhZeKUqkkKkpJkSKaNZ8bQEsuQ6lhc7oBtOwceHj1IvGxsWinULFVE1Rv1Y5tc6cTdnEXCrtqGjeK4b8ig6/w6chKFNoydu3alepwxMw2bNgwHjx4wJAhQyhUqFCahlcKGS8tSxXB95crWrp0Kb6+vowYMSJx+4gRI9iyZQtubm6MGTMm3bGpVF/Wh7937943i0BduHCB2rVro6enl7jNxcWFiRMn8vjxYwoVKkSZMmU4duwYtra2nDhxgtKlv6zdPGDAABYtWoSxseaPlBLSztLSEoVCwYoZg9XSnkKhSFdNnh49etCjR4/v7pfSiMVevXrRq1evbx7n5OSU4rGasmyjSLp/Aa6urnz8+JE9e/bg6uqKl5cX8KXIQIECBWjdujUzZ87E0NAw8YtaS0uLJ0+ekC9fvsTzvHz5kgIFCpCQkMCjR49SLUo2Y8YMfHx8ePr0Kbq6ulSoUIG5c+dSuXLlNMXr4+NDp06daNGiBXv27EncvnXrViZMmEBERAS9e/fmt99+S3zu8ePHODs7ExAQ8FNVEIXMoVQq6datG8+fP+fy5cuZ1rvUqlUratSoweDBg9m5cyd37tyhcePGPHz4kBcvXjBgwAAKFiyYKW2r05o1a9DRkeHkpNlrcwM8eRxHQoJSo5YL+0pHS0a0hvV0A+jXqEvYhTM8uXOLImUrSB1Oqup378l+t+XEPA9CP39xqcNJUULERz6eXE/4HX9cGjZk44YNKfawqNOyZct49OgR7dq1Y+3atSLxyQCWlpZUqVIlTfumdaki+LnliiZNmkTfvn3T/Pfu06dP5MuXj5iYGLS0tFi9ejUNGjRIdf9Xr14luw7LnTt34nOFChVi/fr1DBo0iMWLF1O9enUmTpzIpk2bUCgUODo64uLiQnBwMB07dmTOnDlpilPQXNbW1gQFBREaGqqW9iwtLbG2tlZLW9mBSLp/QQ0bNmTjxo3ExcVx9uxZ+vTpQ0REBO7u7on75M2bl02bNjFx4sTEbV5eXuTLl4+QkJBvnt/Ozg43NzcKFy5MVFQUy5Ytw9nZmX/++YecOXN+89gnT54wZswYatasmWR7aGgoffr0wdPTk8KFC9OkSROcnJxo0qQJAAMHDmTBggUi4dZQM2fOZP/+/ezfv59ixYplals5c+Zkx44d+Pn50b9/f9zd3UlISKBIkSJ06dIlU9tWB6VSSWDgNWrXNsTISPN77K9e+1K5XJOWC/tKR1tOlAat0/2VXh1nZEtm8eDqFY1OupsNGsmhP9z5fNlX45JulUpFxN8nCPPfgKGeNl5eXnTr1k0jeuS1tbXx9vamTp06dO7cWepwsgUDAwNevXqVpmuAr0sVXb58+aevGb61XNHSpUtZuHBhknnU32JsbExgYCDh4eGcOHGCUaNGUbhw4WRDz//tv21/7eX7ur1EiRKcPn068fl3794xY8YMzpw5w9ChQ6levTp+fn44OjpSuXLl7w7VFTSftbW1SIQ1lEi6f0F6enqJc5s6d+7MqVOn2LNnT5Kku0ePHmzcuDFJ0u3p6UmPHj2+Oxf3vxcRS5cuxcPDg5s3b1KvXr1Uj0tISKBLly7MnDmTs2fP8vHjx8TnHj58iKmpaeJyLnXq1OHOnTs0adKEbdu2oaurS+vWrdP8Hgjq4+fnx6xZs5g3b17iTRJ1aN26NbVr16Z///74+vqiUCh4/fp1ktEbWdHu3buJjY2nYaOs0Tt2924MWloyChbUvKHwurpaoIHDy+X/1959xzV1vQ8c/yQIBAKCigoiMgSKtRX3rqMu3NY9EBVHrValKlpHFfeuraVqVRCti1pc1VarFazWreAENyLWBagoe9zfH3zJr5GtQAKe9+uVl3Bzx3NvJMlzzznPURggNzLm5rnTuAzX3nG/ZcqUoWGnrpzc8yspMQ/RLa8df1spzx/x4s8fiQ8PYeDAQXz33co8b/gWN2NjY1VhR+HdGRoa5iuBzpyq6MCBA3lOVQQZjQgnTpwgOTk5S2t3fqYrGjp0KF9++WW+zkEul2Nvbw9A7dq1CQ0NZdGiRTkm3ebm5jx+/FhtWeYsHpkt3m/66quv8PDwoGrVqgQFBTF//nyUSiWdO3cmKChIJN2CUIRE0i1gYGCQZZ7jbt26sXbtWk6cOEHz5s05ceIEMTExdO3atUAFsJKTk1m3bh0mJiZ5Tg01d+5cKlasyPDhwzl+/Ljacw4ODsTHxxMcHIy1tTXnzp3D3d2dmJgYZs2aRWBgYP5PWCg2V65cwc3Njb59+/L1118X+/ErVKjAr7/+yu+//87o0aNxdXVl+PDh9O/fv8irFReVHTt2UKlSGWrVyl+BHk2LuJ+CpWV5dHV1NB1KFrq6ZZC0sKUbQG5TnRvnzpCenq7VNQgGzpzLqd/2EHt+LxXa51wBujhIaanEntvDq5PbqWJhzq6DB7V6zHSZMmVK/CwKJUlBpyqCjOmKVq1axU8//aRWSA3yN13RsmXL3nq6IkmSSMpldoUmTZowffp0tRsCf/75J1WqVMl2+N9ff/1FWFiYauqytLQ01Xe/N78DCoJQ+LT3k1woFmfPnmXbtm1ZWqB1dXVxdXXF19cXAF9fX1xdXdHV1c3Xfvfv34+RkREKhYKVK1dy+PDhXIst/PPPP/j4+LB+/fpsny9XrhybNm3Czc2Nhg0b4ubmRocOHZg8eTLjxo3j3r171KlTh48++ohff/01n2cvFKWYmBh69OiBvb09vr6+Gu3W2alTJ65fv84XX3zBmjVrGD58OGFhYRqL5209e/aMf/+NpFMnY+RyzXeTzY/o6HQcHbWvcjmAvr72Jt16jZqT8CqWR3dvazqUXBmWNcGpYWNeX/6TtPiXGosj6dEtnm2ZSOzxzUwYN5bQ69e0OuEWitfbTFUExTdd0aJFizh8+DB3794lLCyMb7/9ls2bN+Pq6qpax9vbW+272sCBA9HX12fo0KFcvXqV3bt3s3DhQlXl8v9KSEhg7NixrFu3TnUTr1mzZvz4449cunSJgIAAmjUrGbMQCEJJVTKbeoR3kpkQp6amkpKSQvfu3fnhhx+yrDd8+HCaNGnCwoUL2blzJ6dOnSI1NTVfx2jdujUhISFERUWxfv16+vbty5kzZ6hUKWsxpVevXuHq6sr69etzTcw/++wztamegoKCuHLlCt7e3tjb27N9+3bMzc1p2LAhLVq0yPZYmdLT05kxY0aWrllC4QkJCeHly5f89ddfKJVKTYeDkZER3377LQMGDGDEiBEMHz6cHj16MHLkSExNTTUdXr789NNPpKdDu/Ylo2s5QEKChL299o3nBtDX10WK1c6k26BDV+I2/MCt82ewtHfUdDi5cpuziGkdWvIq+HdMmw0o1mOnJ8Xz4sRWXl/4jY8+/hjf385Qv379Yo1B0H75maooPDw8222LY7qiuLg4xowZQ2RkJAYGBjg5ObFlyxbVkDrIuHFw584d1e8mJiYcPnyYsWPHUr9+fcqVK8fEiROZOHFilv3PnTuXLl26ULt2bdWyVatWMXDgQFq0aMHAgQM1VtFfEN4XMim72upCiSWTybKUy3+zevnDhw9Zs2YNurq6VKlSRa31OrN6eXBwMLVr16ZBgwYYGRkRFxfH2bNnCQkJoU6dOrlWL8+Og4MD7u7uamPEM2XuU0fn/7ufpqenAxljnG7cuEH16tXVtklKSqJOnTps2bKFMmXK0LZtW9VYpgYNGjBr1qxsPwwzr09aWhr9+/fn0aNH+T4HoWB0dXWZN28ezZs313QoWaSkpPDDDz8wd+5c0tPTGT58OL169dL6Luft2rXB0VFi6TLtbDl+U1RUKv37RbB06QA++0z7EqFBg37k/K0XVAz4S9OhZCuqS3Matu3AyOVZb4pqm286f8qjBw+xHLMJua5+3hu8I0lKJ+5aIK+Ob4akOObNncNXX32V795YQumW3XchoeDEddROiYmJ3Lt3D1tb23zPBS8Unfy+Htr9DVMoEkqlUlWsIy/u7u6MGTNGrcja28htbJKTkxNXrlxRWzZz5kxevXrF999/n23XrXnz5tGxY0fq1q1LcHCwWgt8SkoKaWlpucajo6PDzp073+JMhNJAV1eXiRMnMnjwYGbOnMmqVavYs2cP48ePp0mTJpoOL1unT5/m9et4OnbUvqm3cnJRVblcO2NWKPSQkpM1HUaOZJZWhJ05qekw8qX/jDmsGNqfuGuBGNd2KdJjJT26ycuj60iIDKN3794sX768VEwFKAiCIJReIukWcjVy5Ej69OmT7+63cXFxLFiwgG7dumFhYUF0dDSrV68mMjKSPn36qNZzc3PD0tKSRYsWoVAo+Oijj9T2k3m8N5cDXLt2DX9/f0JCQoCMpF0ul+Pj44O5uTlhYWE0aNDgrc5XeL9UrFiRn376iTFjxjBhwgQmTpxI06ZNGT9+vNZ9id+wYQMGBjKaNTfUdCj5du1aRmVwbZyjG8DAQBcpl0JFmqZXpxHPf9lEzKOHlLfQjsrgOanZ9BNMK5kTezYAI+f2yGSFXzIm9XUML//ezOsrR/iw5kf8+HNgrtMpCYIgCIK2EEn3eyA9Pf2tu82WKVMm13HWb9LR0SEsLIxNmzYRFRVFhQoVaNCgAcePH6dmzZqq9SIiIt6qIq8kSYwaNYqVK1eqxgkbGBjg5+fH2LFjSUpKwtvbu8RPCyUUL2dnZwIDA9m1axeTJk3C1dWV3r174+7ujrGx5sdPJyYmcuNGKJ07G6OnV3LqX967m4yZmTFGRtrZ/U2p1IfUFKT0dGRaWCHcwKUr8b9s4uaFczTuov3vad3GfcXmb6aScOcchvaNCm2/6SmJxJ7dTdy5XSgNFPz444+MGjVK64eDCIIgFLeIiIhim4rQzMxMzAleAGJMdymT3fgbFxcX7O3t8fb21lBU2kOMTxLykpiYyMqVK1mwYAF6enqMHDmSbt26qdUcKG4bNmzAx8eHNWsscXAs+vGyhaVvn/t88IEdmzdr51zTc+bsYsuWf6h04CQyAwNNh5Ot6E5N+KRnPwZ7LdR0KPkypq4TkqkV5oOWvvO+MsZtB/H6xGbS4l4yYcJ4ZsyYgVKpJD09XYxlFHIkPusLh7iO2imnMcQRERHUcPqA+ITEYonD0EBBaNiNfCXeec1gM2TIEL766isaNmzIzp076datm+q5gIAABg0axPnz5/n4449z3c/s2bPx8vLKV/yFRYzpFnj+/DknT54kKCiI0aO180uvIGgbhULBtGnTGDJkCNOnT2fp0qUEBAQwatQoPvnkE41MfbZv315sbPSwd9Ar9mO/i/h4mdZWLgcwMsq4gSElJWht0i2ZVS4x47oBWvd35Y8Na0j69wb6VT54q31IkkTC3fO8/mcrCY9u07NXL5YuWaIqqDl58mSOHTvG6dOnNXozTBAEQZtERUURn5DIls8MqFGxaHtvhT5Lx3V3AlFRUflKuv9buNjf359Zs2Zx48YN1TIDAwNMTEz45ptvGDVqFM2aNaNChQo8ffqU0aNHM2fOHGrUqKG2n+XLl3Pw4EGOHDmiWmZkZFRIZ1j4RNJdirm7u3Pu3DkmTZpE9+7dNR2OIJQoVapUUQ1bmDJlClOnTqVmzZqMGjWKBg0aFFvyHR4eTlRUFH36VNDoXOcFlZiYTlJSKtWra3PSnXFHWpvHdet+XIdHB/cS9/IFShNTTYeTp888pvDnJh9iz+6mYo+vC7StJEkkhofw6p+tJDwMo2mz5iz5ZWOWGRB69+7NihUr8PPzY/jw4YUZviAIQolXo6KcuhbadUPS3Nxc9bOJiQkymUxtWaZp06axb98+xo4dy44dO/j8889xcHBg8uTJ6OjoqG1jZGREmTJlst2PNtK+QWxCodm9ezeRkZEsWLCgRH1ZFwRt0qBBAwIDAzly5AhKpZIJEybw5ZdfcunSpWI5/po1a5DLoU1b7b17m53g4AQkSXsrl8P/xnQDUlLxdMV7G4o2HUGSuH3xvKZDyZcyenrUbdeB+Bv/kPLicb63S4y4TNSOaTz95RtqVinLn3/+yYnjf2c75WDjxo0ZOHAg06dPJzY2tjDDF0oJa2trZDKZeLzjQ9sKigqln46ODps2bWLv3r0MHDiQQ4cO4efnVyp6NYmkWxAEIR/atGnD6dOn2bdvHykpKYwePRoPDw8uX75cZMdMT0/n7NnTNG2qxMSkZH3gXL2akchqc9JdtmxGl3IpUXuTbt3a9dHR1eXm+bOaDiXfXGctRCaX8+r8vjzXTYwM5Zn/DJ5sn45DeV3279/P2TOnadeuXa43ixcvXsyrV69YuLBkjHUXild4eDiSJInHOz7Cw8M1/VIK76EaNWrg4eHB9u3b8fLywtHRUdMhFQqRdAuCIOSTTCaja9euhISE4O/vz6tXr/j888+ZMGFCkbR8Hzp0iMTEZDp21HwF9YK6fSsJpVIfMzPtjV2VdGtxS7dcLgfT8tw8d0rToeSbcfny2Netz+tLB0lLfJ3tOkn/3uDZztk82eqJjTKN3bt3E3zxAp07d85XzywrKyumTJnCypUruXv3bmGfgiAIgqAhr1+/xt/fH0NDQ44fP67pcAqNSLoFQRAKICYmhh9++IG+ffty5coVdu7cSXx8PKNHj2bcuHFcvHix0Kq9btmyhXLldKhXXzuLfOXm4cOM8dzaPLTFxCRjznNtbukGKOP0EeFXL5OixTcH3jTYayFSWgqvQ/5QLZMkicQHV3kWMIfHP0+iqm4c/v7+XLl8iR49ehT4/4qnpycVK1bE09OzsMMXBEEQNMTT0xM9PT1OnjzJX3/9xebNmzUdUqEQSXcpI8YxifFJQtHy8vJizpw5pKenI5fL6d27N5cuXSIgIIDk5GTGjh2Lu7s7hw4dIiUl5a2P8/LlS+7fv4eLizE6OtqbuOYkNhYcHLS3iBqAicn/WrqTtTuZ1W/RhrTUVO5dLp46AoWhqqMT5jZ2xJ7bQ3pKEvE3T/JsmydPtn2NlW4cP//8M9evXaVv374ZrflvQalUsmTJEnbt2kVQUFDhnoAgCIJQ7A4fPsyGDRvw8/PD2dmZhQsX4uHhoVa1vKQSSXcpI8YxifFJQtGJjIzkp59+YvLkyWqJglwup2fPnoSEhPDHH39gZWWFl5cXvXr1YvPmzbx8+bLAx9qwYQNpaRIdXLS3e3ZO0tPTSUxM0+rK5QBly5aMlm79T9og19Hh5vkzmg6lQHpO/Jr0+Jf8u9adZ7sXUtemIvv37+f61Su4uroWSmGcAQMG0KhRIzw8PEhLSyuEqIXSwMbGRuM3+bXlYWNjo+mXQxDyJTY2luHDhzN58mQaN24MwPjx41Uzx5R0YsowQRCEfFq4cCHGxsaMGzcu2+dlMhkuLi64uLhw9epVVq5cia+vL35+fnTs2JF+/frlaz5LgCNH/qRmTQVVq+oW5ikUixs3kklPl7Q+6TY1/V+3fS3vti3X00NmVLbEJN0vnz3l6LZNHNv+M8jkNK7zMcuXL1N9iSpMcrmc7777jiZNmrBx40ZGjBhR6McQSp779+8X2jCfkk4mK3k9pYR3E/osvUQew8PDAxMTE+bMmaNaJpfL2bhxI87OzmzevBk3N7dCP25xkUniXUkQBCFP9+/fx8HBgXnz5jF16tR8b/f06VPWrFnDjz/+SFRUFM2aNaN///7UrVs3xy9Dly5dYvTo0Xh6ViyRLd3btj3H1+c5R45Mw9raTNPh5MrB0RPjsZMx7DlA06HkKmbyaOShV/jxYhhyLZ06JeL6VQ5v2sDZA3vR09NjuLs748ePp3r16kV+bFdXVw4fPsytW7coW7ZskR9P0G4ymUwk3f8jrkXpk5iYyL1797C1tUWhUKiWR0REUMPpA+ITiudGsqGBgtCwG/luTCitcno93iRaugVBEPJhwYIFmJqaMnbs2AJtV6lSJWbPns3UqVPZtm0b3377LV9++SWOjo707duXNm3aZHmTXrduHfr6Mlq0VBbmKRSbmzeSKFNGh6pVy2s6lDzJdORIyUmaDiNP+k0+4fXFM0TeDKNajZqaDkclMS6Oswf2cnznNu5cCqaqlRULFyxgxIgRmJqaFlscixcvZteuXSxYsIAlS5YU23EFQRC0RbVq1QgNu0FUVFSxHM/MzOy9T7gLQiTdgiAIebh79y4bN25k8eLFGBkZvdU+FAoF7u7uDBs2jL/++osVK1Ywf/58vv/+e9q3b0/37t1xcHAgNTWVq1cv8emnRhgYlMyyGw8epGBtbYaOjvbHL5PLtX5MN4BBu87ErV7BrfNnNZ50S5JE+NXLHPPfyrkDe0iMj6dDBxeWe+2mc+fO6OoW/5CIqlWrMnXqVBYuXMioUaOKpXVdEARB21SrVk0kwlpKJN2CIAh5mD9/PhUqVOCLL754533JZDLatm1L27ZtuX37Nr6+vvj6+hIQEECNGjUwNzcnOTkNlxI4N3emmBiJZs20ezx3JrlcptXzdGeSlzVFrjTi5oUztBk8TCMxxL+K5fS+XRzfuZ37169iWbUqUyZPxt3dXSu+5Hl6erJhwwY8PT3ZtWuXpsMRBEEQBBXtb4YQshBVOUUVT6H43Lp1i82bNzNt2jQMDQ0Ldd/29vYsXLiQBw8esGfPHmxtbVVTH+3bF8uF8/GkpZW8sXiJienY25eMpFunhLR0A8iqWhN25lSxjs+UJInbF8/h8/VXTGpWl+3zZ+HsUJ39+/dzPzwcLy8vrUi4AQwNDVmyZAm7d+8mMDBQ0+EIWmbo0KGq7wK6urpUrlyZdu3a4evrS3q6elGonL5nLV68OMf9e3l54eTkhFKppFy5crRt25YzZ/IufhgQEMCHH36Ivr4+H374Ibt371Z7fuvWrVhZWVG+fPksc9KHh4fj6OhIbGxsAa6EIAiaIJLuEiizKqd4FPxx//59Tb98Qgkzb948KleuXKTTVejq6tK9e3cOHDhAWFgYc+fOJfJBZaZOfcxg13/x2RDDgwfJRXb8wvTwYTIpKelaX7k8k45OyWjpBtBv0IRX0VE8exBR5Md6dOc2e75fzoz2n7Cwfw8iL57lm5kziIiIYO+ePXTu3LlQpvwqbAMGDKBx48Z89dVXYgoxIQsXFxcePXpEeHg4f/zxB61bt2bChAl06dKF1NRUtXXnzp3Lo0eP1B45zVwB4OjoiLe3N1euXOHEiRPY2NjQvn17nj17luM2p06dol+/fgwePJhLly4xePBg+vbtq0rWo6KiGDFiBMuXL+fQoUNs2rSJAwcOqLb/4osvWLx4sSgeKAglgOheLgiCkIOwsDC2bt3KqlWrMDAwKJZjOjo68s033zBz5kzOnDnDpk2b2L59K9u3R+LgYEjzT/T55BMl1arpFUs8BRV8MSOBLSlJdxkdGUklJOlWtO9K3M/ruXXhLJWqWRf6/qP/fcjZ3/dx7sAewq9dxbhsWXr17MmgQev49NNP1eam11YymYzvv/+eRo0a4evry8iRIzUdkqBF9PX1MTc3B8DS0pK6devSuHFj2rRpg5+fn9qUc8bGxqp182PgwIFqv3/77bf4+Phw+fJl2rRpk+023333He3atWPatGkATJs2jWPHjvHdd9+xfft27t69i4mJCf369QOgdevWXL9+nc6dO7Nt2zb09PTo2bNnga6BIAiaof2foIIgCBoyd+5cqlSpopG5f2UyGY0bN2bNmjU8fvyUnTt3UqdOZ37xT8R9WCQjhj/Cb2MMd+4kadV0MNevJyKTga1tRU2Hki+6OjKtn6c7UxlLK8oYGHLr/NlC22fUw0gO+qxlQZ+ueLZqyL7vl1GvhhO7du3i6ZMnbNy4kbZt25aIhDtTw4YNGTx4MDNmzODly5eaDkfQcp9++inOzs6FWgcgOTmZdevWYWJigrOzc47rnTp1ivbt26st69ChAydPngTAwcGB+Ph4goODiYmJ4dy5c9SqVYuYmBhmzZqFt7d3ocUsCELREi3dgiAI2bh27Ro7duxgzZo16OvrazQWhUJB79696d27NwkJCRw+fJiAgAD27t3Nli0PsbRU0KyZPp+0UOLkpJ/j/N/FIfx+MpUrm6JQFH8F67ehp6eDlJCg6TDyTapkTtjZk2+/vSTx6M5tLh/7iwsHD3Dn0kX09fXp4OLCHM+JdO3atVR0VV20aBEBAQFMnDiRXr16aTocoYiZmZnRsGHDt97eycmJy5cvqy2bOnUqM2fOVFu2f/9+WrVqleN+9u/fT//+/YmPj8fCwoLDhw9jZmaW4/qPHz+mcmX1XkGVK1fm8ePHAJQrV45Nmzbh5uZGQkICbm5udOjQAXd3d8aNG8e9e/fo1q0bKSkpeHl50bt37wKeuSAIxUUk3YIgCNmYM2cO1apVY9gwzVSKzomBgQHdunWjW7duJCevJzAwkICAAHbvDuCXX/6lUiV9mjXTp/knSmrWVFCmTPEm4E+fplHr4/x3ydQ0XV1dpMR4TYeRb3q16/N07y/ExkRTtnyFfG2TFB9P6Jl/uHIskGt/H+Vp5AP0FQpcXFyYO2USXbp0USXau3btolq1atSvX78oT6PIWVpa4uXlxZQpU/D19dV0OEIRUygUPHny5K1vGEmSlOVmpaenJ0OHDlVbZmlpmet+WrduTUhICFFRUaxfv141PrtSpUo5bvPmcd+M5bPPPuOzzz5T/R4UFMSVK1fw9vbG3t6e7du3Y25uTsOGDWnRokWuxxIEQXNE0l0K5NWqNWTIEPz8/FTrnTp1isaNG6ueT0pKokqVKsTExBAYGKh2F3f//v0sX76cCxcukJaWRs2aNRk7dmyWD6I3eXl5sWPHDh48eICenh716tVjwYIFNGrUKMdtdu3axcKFC7l9+zYpKSk4ODgwadIkBg8erFpn69atfP3118TFxTF8+HCWLVumei48PJz27dtz/vz5UtFSI2jO5cuX2blzJxs2bEBPTzvHTgPo6enRoUMHOnTowJo1azhx4gQBAQEEBPzC7t2PUCrL4FxbQb16+jRoYEiVKkXf+pwQT4mpXA6gr18GKbHktHQr2nYiYe8v3L5wjrrtXHJc70n4XS4fO8rVvwMJO3uKlKQkbGzt6NujO506daJVq1bZ1inYvHkzz58/59ixY0V5GsXC09OTIUOGZCmQJZQ+SqXynT73Q0NDsbW1VVtmZmaGvb19geOwt7fH3t6exo0b4+DggI+Pj2rM9pvMzc1VrdqZnj59mqX1O1NSUhJjxoxhy5Yt3L59m9TUVFq2bAlk1AM5c+YMXbt2LVDMQukSERFBVFRUsRzLzMxMa2avKAlE0l0KPHr0SPWzv78/s2bN4saNG6pl//1iZWVlxcaNG9WS7t27d2NkZERMTIzafn/44Qc8PDyYOnUqq1evRk9Pj7179zJ69GiuXr3K8uXLc4wps4qnnZ0dCQkJrFy5kvbt23P79m0qVsx+rGf58uWZMWMGTk5O6OnpsX//foYNG0alSpXo0KGDqoqnn58fdnZ2dO7cmVatWtG5c2dAVPEUCo+Xlxd2dna4ublpOpR809HRoWXLlrRs2ZLvvvuO4OBgDh06xMGDv7Nm9Wl+SI3G0lJB3Xp61KmtwLm2ASYmhVt9OjY2laSkNKpXLzktLQqFLlJ0kqbDyDe9ms7o6Olx8/wZtaQ74fUrbp0/y5XjQVz7O5DH9++hp6dHixYtcV+8mE6dOuHg4JDnTdoePXrg7u7Ow4cP82zVKwlEq5+Ql6NHj3LlyhW++uqrQt+3JEkkJeX8/tKkSRMOHz6sduw///yTpk2bZrv+vHnz6NixI3Xr1iU4OFjthlJKSoqo2P+ei4iIoEYNJ+Lji+dGsqGhAaGhYQVKvIcOHcqLFy/Ys2eP2vKgoCBat27N8+fPCQkJoXXr1qrnzMzMqF+/PosXL1arkXDt2jXmzJlDYGAgsbGxVKtWjf79+xfJFK+FQSTdpcB/q2uamJggk8lyrLg5ZMgQVq1axXfffadKxn19fRkyZAjz5s1TrffgwQMmTZqEh4cHCxcuVC2fNGkSenp6jB8/nj59+uTYcv02VTzfHCc1YcIENm3axIkTJ+jQoYOo4ikUi4sXL7J79278/PzQ1S0Z45LfJJfLqVevHvXq1WP69Om8evWKwMBADh06xOHDB/lt310A7O0NcXbWpU4dBR99rMDI6N2S8JDgklW5HEBfXxcpsWTNcSuVN+P6yeMEHznEjXOnuXXuNPevXyU9PZ2q1arRo1MnOnXqROvWrTEyMirQvnv06MHnn3/Ozp078fDwKJoTEAQNSUpK4vHjx6SlpfHkyRMOHjzIokWL6NKlS5abrK9evcrSCm1oaJjtjf24uDgWLFhAt27dsLCwIDo6mtWrVxMZGUmfPn1U67m5uWFpacmiRYuAjO85LVq0YMmSJXTv3p29e/dy5MgRTpw4keUY165dw9/fn5CQECBjHLpcLsfHxwdzc3PCwsJo0KDBu14ioQSLiooiPj6BLV93pUa1/A0/eluhEdG4Lv6NqKioImvtvnHjBmXLliUiIoLx48fj4uJCWFgYJiYmnD59mrZt29K2bVsOHDhA5cqVOXv2LJMmTeLo0aMEBgZqXU9FkXS/Z+rVq4etrS0BAQG4urry4MED/v77b3788Ue1pPvXX38lJSWFyZMnZ9nH559/zvTp09m+fXuu3cUz5beK539JksTRo0e5ceMGS5YsAdSreFpbW3Pu3Dnc3d1VVTwDAwPzeRUEIWdeXl44ODgwaNAgTYdSaIyNjVXjwAEiIyMJDAzk6NGjHDlyiICAjN4y1aoZ8MEHOjg56eNUQ4GdnR66uvkfE37lSkbSbWdXcloXDQx0tX6ebkmSSHsYQcq1S6Rcu4ws7hWRj//lhzHuWFa1onWrlkyfMI6WLVtib2//ToX0TE1NcXFxwd/fXyTdQqlz8OBBLCwsKFOmDOXKlcPZ2ZlVq1YxZMiQLBX6Z82axaxZs9SWff7556xduzbLfnV0dAgLC2PTpk1ERUVRoUIFGjRowPHjx6lZs6ZqvYiICLXjNG3alB07djBz5ky++eYbqlevjr+/f5bvVpIkMWrUKFauXIlSqQQyejH6+fkxduxYkpKS8Pb2LhW9U4R3V6NaBeo6lJzaKjmpVKkSpqammJubs2LFCpo3b87p06dp3749w4cPp0aNGuzatUv1N2VtbY2joyN16tRh5cqVTJ06VcNnoE4k3e+hYcOG4evri6urKxs3bqRTp05ZunzfvHkTExMTLCwssmyvp6eHnZ0dN2/ezPU4Ba3iCfDy5UssLS1JSkpCR0eH1atX065dO6Dwq3jev3+fZ8+e5bqO8H4JDw/nt99+Y8uWLZQpU7reHi9evIibmxshISFUrVqVwYMHM3jwYCRJ4s6dO5w8eZKzZ89y+vQ/rF17lZSUaHR15dg7KHD6oIwqEa9SpUyOSd2dO0mYmBhQrpyymM/u7RkY6CEla0/3cik9nbRHD0m9c4PUOzdJu32DtLCrpDyPQSaT4fjhh7To3x9HR0d69+6NjY1NocfQr18/Bg0aRHh4eJHsXxA0wc/PDz8/v3ytGx4eXqB9KxSKfE05FhQUlGVZ5swUuZHJZPzzzz9Zlnfp0oUuXbrkO05BKKkye+empKQQEhLC9evX2bZtW5abZc7OzrRt25bt27eLpFvQPFdXV77++mvu3r2Ln58fq1atKvA+sqv0+aa3qeJpbGxMSEgIr1+/5q+//mLixInY2dmpup4XVhXP1NRUnJycSEzU7hYuofh9/PHH9O/fX9NhFDp/f3+ioqLQ0VHvQi6TyVSFfzK7VyYmJhISEsLZs2c5c+YMZ878w+7d9wEoa6KH0we62NqVwdZGD2sbPapV00VfX86jR6nY25esoiqGhnqQkpKv97TCJiUmkHrvDil3bpJ65wbS3Zuk3LlFWnwcAGaVK1PH2ZnGX46ladOmNG7cGFNT0yKPq2vXrigUCn755RemTJlS5McTBEEQ3h/79+/PMvQpt3oE0dHRzJkzB2NjYxo2bKjq2VqjRo1s169Ro0a2QzQ0TSTd76EKFSrQpUsXhg8fTmJiIh07duTVq1dq6zg6OvLy5Uv+/fdfqlSpovZccnIyd+/e5dNPP831OAWt4gkZY1Ezq4XWrl2b0NBQFi1alO28mO9SxbNMmTLcunWL6OjoXM9BeP/Y29tnSUxLgyNHjtC2bdt8JZYKhYLGjRurFVyMjo7m3Llz/0vCT3PieAj+OzLGO8rlMqpUUfDyJcTFJfHrr2exs6uIjU1Fypcv2Jji4qZU/m8O9uQk0FcU+v4lSUKKfUFqZARpDyNIi4wg9WEEsnu3SYoIR0pPRy6XU/2DD6hfuza1XQfg7OyMs7NzjrU5ipqxsTFdunTB399fJN2CIAhCoWrdujVr1qxRW3bmzBlcXV3VllWtWhXIqJng4ODAzp0781UcU5IkrRvPDSLpfm+5u7vTqVMnpk6dmm2C0atXL6ZMmcKKFStYsWKF2nNr164lLi6OAQMGFOiYeVXxLOg271rFs2rVqqo/aEEozaKioggODmb8+PFvvY8KFSrg4uKCi8v/V8x++fIloaGhXLt2jWvXrnHkyJ9ERUUxbZq/ah1TUyNsbMywsDDB3NwEc3NTzM1NqFw54/dKlUzQ1dXcTY7MpFtKTET2Fkm3JElIr1+RHhNF2uN////x6CGyJ/+S9m8kKa/+v1BbJQsLHOztqd25I7Vr18bZ2ZmPPvoo2+m7NKlfv3706dOHW7du4eDgoOlwBEEQhFIis1HuvyIjI7Osd/z4ccqWLUvFihXVChhmfiZdv36d2rVrZ9kuLCwMR0fHwg26EIik+z3l4uLCs2fPcpxeq1q1aixdupTJkyejUCgYPHgwurq67N27l+nTpzNp0qQci6i9bRXPRYsWUb9+fapXr05ycjK///47mzdvznI3DEQVT0EoiKNHjyJJEm3bti3U/ZqYmGRpEQeIj4/n9u3b3Lhxg5s3b3Lr1i0iIx/wzz8PiIw8pzadiUwmw8ys7P+ScWPMzU0oV84IU1NDypY1+N+/hpiYGGBkpECp1MfQUK/QuoIbGf0v6U5KRJIkSEpESkggPSE+I5l+EZPxiIlR/Sy9eI78fz+nxMSQnpqi2p9OmTJUsbLC3taO6p80xc7ODgcHBxwcHLC3t1cVQdJ2nTp1QqlU4u/vz8yZMzUdjiAI76Aw3i+tra0LPNZdEN6Fra1ttkOq6tSpg5OTEytXrqR///5q47ovXbrEkSNH8Pb2LsZI80ck3e+pjC+6uRc1++qrr6hevTrLly/n+++/Jy0tjZo1a7JmzRqGDRuW43ZvW8UzLi6OMWPGEBkZiYGBAU5OTmzZskU1RVgmUcVTEArm8OHD1KhRo9j+JgwNDalVqxa1atXK8pwkSbx8+ZLIyEi1x8OHD4mMfMCFCxFER9/k+fOXJCcnZ7t/uVyOUqmPUqnA0FAPuVyOjo4cuVyGjo4cmUyGjo4MuTxjWcbyjH9TU9NJTk4jKSmV5ORUoqMzhtY8H/oZaUlJIEnZHlNpXJaKlSpiXrkyVSwrU6nOR1SqVInKlSur/rWxsaFKlSpqRfhSU1NLZFE+Q0NDunfvLpJuQSgFpBze1wqiuGteCEJOZDIZGzZsoH379vTq1Ytp06Zhbm7OmTNnmDRpEh06dODzzz/XdJhZyKTC+EsUipVMJiuUN9D3kbh2wvtGkiRsbW3p1q3bWxVN1BRJkoiPj+f58+eqR2xsLK9evVI9YmNjiYuLIz09nbS0NNXjzd//u0xXVxeFQoG+vr7q3+joaJycnDAyMlI9lEolJiYmVK5cmYoVK6JQFLzr+Y0bN6hXrx63b9/W2Pjsd7Fv3z66d+/O1atX1W6YCoK2E5/1/6+wroW4ptojMTGRe/fuYWtrq/bZdPHiRerVq1es83RfuHCBunXr5nu7oUOH8uLFC/bs2aO2PCgoiNatW/P8+XNCQkJUP+dWPPTKlSvMmTOHwMBAYmJiAPjyyy9ZuXJlsd7szun1eJNIuksg8cb39sS1E943d+7cwd7enr1796rm6S5p0tPTOX36NE2bNtV0KAVy69YtHB0dOXLkCG3atNF0OAWWlJRE5cqVGT9+PHPnztV0OIKQbwqFosA1ZEqrwuoWLr4/aY+ckryIiAhq1HBSG8JVlAwNDQgNDaNaNc3PWpKens7w4cM5dOgQx44dK9ZaJPlNuktenzdBEAQh3w4fPoyOjk62MwCUFH/++SedOnUiJiamWKbMKizW1tbI5XLu3LlTIpNufX19evTogb+/P3PmzBHdS4USIykpSSSIwnunWrVqhIaGERUVVSzHMzMz04qEG1DVdfrhhx84fvy4VhYAFUl3KWFjY8P9+/c1HYbW09fX13QIglCsjhw5QqNGjXIsmlgSPHv2DEmS3qqLtybp6elhZWXFnTt3NB3KW+vfvz+bNm3i0qVL2VaJFQRBELRHtWrVtCYRLm5yuZwJEyZoOowcyfNeRSgJ7t+/nzF1jXjk+hDdzYT3SVpaGkePHqVdu3aaDuWdvHjxQjUGu6SpXr06d+/e1XQYb61NmzZUqFABf3//vFcWBC02dOhQZDIZMpkMXV1d7OzsmDx5MnFxcWrrBQQE0KpVK0xMTDAyMqJWrVrMnTtXNWY0U0JCAuXKlaN8+fIkJGTtzmtjY6M6XmZx2GXLluXZAu/l5YWTkxNKpZJy5crRtm1bzpw5k+s2165do1evXqpjfvfdd1nW2bp1K1ZWVpQvXx5PT0+158LDw3F0dCQ2NjbLdoIgFA6RdAuCIJRSFy9e5Pnz54U+VVhxe/nyJSYmJpoO461Ur169RLd06+rq0rNnT3bs2CG66wolnouLC48ePeLu3bvMnz+f1atXM3nyZNXzM2bMoF+/fjRo0IA//viDq1evsmLFCi5dusTPP/+stq+AgAA++ugjPvzwQ3bt2pXt8ebOncujR48IDQ1l8uTJTJ8+nXXr1uUao6OjI97e3ly5coUTJ05gY2ND+/btefbsWY7bxMfHY2dnx+LFi7Mt2hgVFcWIESNYvnw5hw4dYtOmTRw4cED1/BdffMHixYtLdI8oQdB2IukWBEEopQ4fPoyRkRGNGjXSdCjvpDQk3SU5Ye3Xrx/h4eGcO3dO06EIwjvR19fH3NwcKysrBg4cyKBBg1RVlM+ePcvChQtZsWIFy5Yto2nTptjY2NCuXTsCAgIYMmSI2r58fHxwdXXF1dUVHx+fbI9nbGyMubk5NjY2jBgxglq1avHnn3/mGuPAgQNp27YtdnZ21KxZk2+//ZbY2FguX76c4zYNGjRg2bJl9O/fP9thdHfv3sXExER1Q6F169Zcv34dgG3btqGnp0fPnj1zjUsQhHcjku4SyNraWtVlKfMhCILwpiNHjtCqVSt0dXU1Hco7efHiRYkqoPZf1atXJzY2lujoaE2H8tZatWpF5cqVRRdzodQxMDAgJSUFyOh+bWRkxJgxY7Jd97/vQXfu3OHUqVP07duXvn37cvLkyVyHkUiSRFBQEKGhoQV6P05OTmbdunWYmJjg7Oyc7+3e5ODgQHx8PMHBwcTExHDu3Dlq1apFTEwMs2bNwtvb+633LQhC/ohCaiVQdlM/iMRbEIT/io+P559//mHZsmWaDuWdlfSWbsj4km5mZqbhaN6Ojo4OvXv3xt/fn0mTJonPG0HrKJXKAneNPnv2LNu2bVPNLHDr1i3s7OzylRT7+vrSsWNHypUrB2R0W/f19WX+/Plq602dOpWZM2eSnJxMSkoKCoWC8ePH57n//fv3079/f+Lj47GwsODw4cPv9P5Rrlw5Nm3ahJubGwkJCbi5udGhQwfc3d0ZN24c9+7do1u3bqSkpODl5UXv3r3f+liCIORAEkqF7F7KIUOGSN27d892/ZYtW0oTJkzIsnz37t2qfS1fvlwqW7asFBcXl2W9hIQEycTERFqxYkW2+w8ICJDq1asnmZiYSIaGhpKzs7O0efPmXM8hLCxMatWqlVSpUiVJX19fsrW1lWbMmCElJyer1rl48aJUu3ZtSalUSl27dpViYmJUz6WkpEh16tSRzp49m+MxxH954X1x8OBBCZCuXbum6VDeWfv27aVevXppOoy38uLFCwmQtm3bpulQ3smJEyckQDzEQysfCoVCevnyper/K2T/nUhHR0dSKpWSvr6+JJfLpc8++0x68uSJJEmS5OLiIjk7O+f5t5CamipZWlpKv/76q2rZzp07papVq0qpqamqZdbW1tKMGTOkW7duSSdPnpRat24tzZs3L19/b69fv5Zu3bolnTp1SnJ3d5dsbGxUcebF2tpaWrlyZZ7rBQYGSvXr15fi4uIkCwsLKSgoSAoLC5PKli2b7bGyu6aCZiQkJEjXr1+XEhISNB2KIOX/9RAt3UKO3NzcmDZtGgEBAQwePFjtuYCAAOLj47Msz1S+fHlmzJiBk5MTenp67N+/n2HDhlGpUiU6dOiQ7Ta6urq4ublRt25dTE1NuXTpEiNHjiQ9PZ2FCxcCMGLECD799FP8/f0ZMWIECxcuVLXkLV++nObNm9OgQYNCvAqCUDIdPnyYKlWqUKNGDU2H8s5evHiBlZWVpsN4KyYmJlSoUKFEF1MDaNasGceOHePVq1eaDkUQsjAzM8tXS3fr1q1Zs2YNurq6VKlSRa1V29HRkRMnTpCSkpJra/ehQ4d4+PAh/fr1U1uelpbGn3/+SceOHdXisre3x97enoCAAOzt7WncuHGexS2VSqVqu8aNG+Pg4ICPjw/Tpk3L8xzzIykpiTFjxrBlyxZu375NamoqLVu2BDKuw5kzZ+jatWuhHEsQhAwi6RZyVLFiRbp27Yqvr2+W5NrX15du3bpRsWLFbLdt1aqV2u8TJkxg06ZNnDhxIsek287ODjs7O9Xv1tbWBAUFcfz4cdWy0NBQtm7diqOjIwMGDGD//v1ARpEQX19fLly48DanKgilzpEjR2jbtm2p6ApckruXQ8mvYJ6pRYsWmg5BEN5JZjKbnYEDB7Jq1SpWr16d7Vy/mbUlfHx86N+/PzNmzFB7fvHixfj4+Kgl3f9Vrlw5xo0bx+TJkwkODi7Qe7NUyFOezps3j44dO1K3bl2Cg4NJTU1VPZeSkkJaWlqhHUsoXhEREURFRRXLsczMzIp1TnA/Pz88PDx48eJFsR2zMImk+z1gY2PD/fv3syw/duwY33//fbbbvPlhkNOHQ0G/0AcHB2cZ85Qf/z3Omy13/30urzvd2VX1FITS5smTJ1y6dIlJkyZpOpRCIZJuQRCKWqNGjZgyZQqTJk3i4cOHfPbZZ1SpUoXbt2+zdu1amjdvzsCBA/ntt9/Yt28fH330kdr2Q4YMoXPnzjx79izHBomxY8eyZMkSAgICsh03HRcXx4IFC+jWrRsWFhZER0ezevVqIiMj6dOnj2o9Nzc3LC0tWbRoEZBRcC2zGnlycjIPHz4kJCQEIyOjLDcZrl27hr+/PyEhIQA4OTkhl8vx8fHB3NycsLAw0WOwhIqIiOADpw9ITEgsluMpDBTcCLtR4MT7wYMHeHl58ccffxAVFYWFhQU9evRg1qxZVKhQAcjIXTw8PPDw8CiCyDVDJN3vgfv375fo6WoK038T9ISEBBISEjQYjSAUjcweICV9fu5MJbl6OWQk3ceOHdN0GIIg5GHJkiXUq1ePH3/8kbVr15Kenk716tXp3bs3Q4YMwcfHB6VSqSq+9l+tW7fG2NiYn3/+mYkTJ2a7/4oVKzJ48GC8vLzo2bMncrn6JEI6OjqEhYWxadMmoqKiqFChAg0aNOD48ePUrFlTtV5ERITatv/++y916tRR/b58+XKWL19Oy5YtCQoKUi2XJIlRo0axcuVKlEolkFHB3c/Pj7Fjx5KUlIS3tzeWlpZvdf0EzYqKiiIxIZGqo6qiX6VoG5mS/k0icl0kUVFRBUq67969S5MmTXB0dGT79u3Y2tpy7do1PD09+eOPPzh9+jTly5cvwsizymtISWGRSSIbKxVkMlmWxHro0KG8ePGCvXv3iqT7fzKvU1paGuXLlyc2NlbTIQlCkfj4449znde1pEhOTkZfXx8/P78s8+SWFH5+fgwbNoz4+HgMDAw0HY4glHrZfScS3o24ptojMTGRe/fuYWtri0KhUC2/ePEi9erVo7pXdQxsivazJiE8gTted7hw4QJ169bN93YdO3bk6tWr3Lx5U+3z8PHjx1SvXh03NzdCQ0Oz3KiWJEnVvdzf3x8PDw8ePHhA8+bN2bhxIxYWFqp1N27cyNKlS7l37x42NjaMHz9eNRVgeHg4tra2+Pv7s3r1ak6fPs2aNWv49NNP+fLLLzlx4gTJycnY2NiwbNkyOnXqlOc55fR6vEm0dAvvJR0dHQ4ePMijR480HYogFIlatWppOoRC8fLlS4AS370c4N69e3z44YcajkYQBEEQil9MTAyHDh1iwYIFWW5Am5ubM2jQIPz9/bl16xa1a9dm1KhRjBw5Um29+Ph4li9fzs8//4xcLsfV1ZXJkyezdetWANavX8/s2bPx9vamTp06BAcHM3LkSJRKpdqN+6lTp7JixQo2btyIvr4+o0aNIjk5mb///hulUsn169cxMjIq1PMXSbfw3mrSpImmQxAEIQ+ZBVNKevdyyJirWyTdgiAIwvvo1q1bSJKU46wqNWrU4Pnz56SlpaGjo4OxsTHm5uZq66SkpLB27VrV5+qXX37J3LlzVc/PmzePFStW0LNnTwBsbW25fv06P/30k1rS7eHhoVoHMoZs9OrVi48//hhArbBzYZHnvYpQkmW2EmVn6NChyGQy1aNChQq4uLjk2CV11KhR6OjosGPHjjyPGx0djYuLC1WqVEFfXx8rKyu+/PLLPLtzr1u3jlatWlG2bFlkMlmWCoVJSUkMHjyYsmXL8sEHH3D06FG155cuXcq4cePyjE8QhJKhNLR0W1hYoFAoRDE1QRAEQchB5vCF3Io0GxoaqhJuyPh8ffr0KQDPnj3jwYMHDB8+HCMjI9Vj/vz5WT5/69evr/b7+PHjmT9/Ps2aNWP27NlFMjxPJN2l3H8LaGTHxcWFR48e8ejRI/766y/KlClDly5dsqwXHx+Pv78/np6e+Pj45HlcuVxO9+7d2bdvHzdv3sTPz48jR44wevToXLeLj4/HxcWF6dOnZ/v8unXruHDhAqdOnWLkyJEMGDBA9Ud67949NmzYwIIFC/KMTxCEkqE0JN0ymQw7OzuRdAuCIAjvLXt7e2QymarS/pvCwsIoV64cZmZmOe7jzYJn/601kJ6eDmR0MQ8JCVE9rl69yunTp9W2yywkmGnEiBHcvXuXwYMHc+XKFerXr88PP/xQ4HPMjUi6SzE/P788i17o6+tjbm6Oubk5tWvXZurUqTx48IBnz56prbdz504+/PBDpk2bxj///EN4eHiu+y1XrhxffPEF9evXx9ramjZt2jBmzBi1Obez4+Hhwddff03jxo2zfT40NJRu3bpRs2ZNxo4dy9OnT1XzEX7xxRcsWbIkz2nDBEEoOUpD0g1i2jBBEATh/VahQgXatWvH6tWrs8we9PjxY7Zu3Uq/fv2QyWTo6ekVeL74ypUrY2lpyd27d7G3t1d72Nra5rm9lZUVo0ePZteuXUyaNIn169cX6Ph5EWO6BZXXr1+zdetW7O3tVfPkZfLx8cHV1RUTExM6derExo0bmTNnTr73/e+//7Jr1y5atmz5TjE6Ozvz888/k5CQwKFDh7CwsMDMzIwtW7agUCj47LPP3mn/giBol8whJqUh6d64cSM9evTQdCiCUOqYmZnx448/oq9ftNMkCUJJkPRvktYew9vbm6ZNm9KhQwfmz5+vNmWYpaWlqreqjY0Nf//9N/3790dfXz/X1u//8vLyYvz48ZQtW5aOHTuSlJTE+fPnef78eY5T+UFGo1/Hjh1xdHTk+fPnHD16NMex529LJN3vuf3796uq88XFxWFhYcH+/fvV5n+8desWp0+fZteuXQC4uroyfvx4Zs+enWWOyTcNGDCAvXv3kpCQQNeuXdmwYcM7xevu7s7ly5f58MMPMTMz45dffuH58+fMnj2bwMBAZs6cyY4dO6hevTq+vr5irklBKOFevnyJUqmkTJmS/XHVv39/7ty5Q2pqqqZDEYRS582/K319/VzHhQoFJ25oaD8zMzMUBgoi10UWy/EUBop8J8OZHBwcOH/+PF5eXvTr14/o6GjMzc3p0aMHs2fPVs3RPXfuXD7//HOqV69OUlJSvqerGzFiBIaGhixbtowpU6agVCr5+OOP8fDwyHW7tLQ0xo4dS2RkJGXLlsXFxYWVK1cW6NzyIubpLiVymz8xp+eGDh3Kw4cPWbNmDZBRyn/16tX88ccfnD17FmtrawC+/vprrl27xm+//QZkzJtrYWHB9u3bad++fa5xPX78mBcvXnDjxg2mT59Oy5YtWb16dZ7nExQUROvWrXn+/HmeVYuHDh1KnTp1sLW1Zfr06Zw5c4alS5dy9epVAgICsr0W6enpdO/eXUwZJghaLvNv9OHDhxqORBCEkiK77z1Dhw7lxYsX7Nmzh7S0NKpVqwZkVC3W0dGhR48emJqa4ufnl+N+v/32WxYuXKga1mZjY4OHh0eeX+jzu152jh8/TosWLVRzDucmP9+dEhMTqVOnDtu2baNOnTpMmDABuVzOypUrCQkJoVWrVlmK2IKYp1ub5DYvdEREhOr/Z1EzMzNT/R29z8Q83UK+KJVK7O3tVb/Xq1cPExMT1q9fz/z580lLS2Pz5s08fvxYraUpLS0NHx+fPJPuzPHiTk5OVKhQgU8++YRvvvlGbRL7d3H06FGuX7+Oj48Pnp6edOrUCaVSSd++ffH29s5xO5lMRv369UXSLQglQKNGjTQdgiAIpYiOjg6hoaGqn98UHR1Nnz59cHd3p1atWhgbG3P+/HmWLl1K9+7diyyu33//nSdPntCgQQOMjIy4fv06U6ZMoVmzZqqE++HDh7Rp04bNmzfTsGFDIKOB4/Hjx9y+fRuAK1euYGxsTLVq1VQth5nmzp1L586dqVOnDgDNmjXD09OTYcOG4e3tTbNmzYrs/ISiV61aNZEIaymRdAtqZDIZcrlcVeDg999/59WrVwQHB6t9MIWFhTFo0CCio6OzjP/OSeYd0qSkwhlrkpiYyNixY9m2bRs6OjqkpaWpjpGSkpJrAQaZTMbs2bMLJQ5BEARBEEqW3IquGhkZ0ahRI1auXMmdO3dISUnBysqKkSNH5ji7SmEwMDBg/fr1fPXVVyQlJWFlZUXPnj35+uuvVeukpKRw48YN4uPjVcvWrl2rVmenRYsWAGzcuJGhQ4eqll+9epWdO3cSEhKiWta7d2+CgoL45JNP+OCDD9i2bVuRnZ8gvM9E9/JS4m27lz958oSNGzcC8Pz5c7y9vVmzZg1Hjx6lVatW9OjRA4VCkWVubkmSsLKywtPTkwkTJmTZd053a01NTTlx4gSQ+93a8+fPM3LkSP7+++8c79ZOnz6d5ORkli9fDsAvv/yCp6cnv/32G6tWreLRo0ccOHAg39dJEARBEISST3zWFz5xTbVHfrszC8VDdC9/z1hbW79V0ZCDBw+qunobGxvj5OTEzp07adWqFU+ePOHAgQPZ3vWUyWT07NkTHx+fbJNucbdWEARBEARBEARBtHS/F8Tdyf8nroUgCIIglG7is77wiWuqPTJbVm1sbDAwMNB0OO+9hIQEwsPD82zpzn2+J0EQBEEQBEEQBEEr6OrqAqj1FBU0J/N1yHxdciK6lwuCIAiCIAiCIJQAOjo6mJqa8vTpUwAMDQ3FvPQaIEkS8fHxPH36FFNT02xnQvgvkXQLgiAIgiAIgiCUEObm5gCqxFvQHFNTU9XrkRsxpvs9IMbh/D9xLQRBEAShdBOf9YVPXFPtlJaWRkpKiqbDeG/p6urm2cKdSbR0C4IgCIIgCKXG287oIuTM2tpa0yEI2dDR0cl30idolmjpfg+Iu5P/T1wLQRAEQRAEQRCKk2jpfg+IO77/T9ypFQRBEARBEAShOImWbkEQBEEQBEEQBEEoImKebkEQBEEQBEEQBEEoIiLpFgRBEARBEARBEIQiIpJuQRAEQRAEQRAEQSgiIukWBEEQBEEQBEEQhCLyf1UNPCai6LF4AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = rp.plot_pie(w=w_rp, title='Risk Parity Variance', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "                 height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3  Plotting Risk Composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = rp.plot_risk_con(w_rp, cov=port.cov_fm, returns=port.returns_fm, rm=rm, rf=0, alpha=0.01,\n",
    "                      color=\"tab:blue\", height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.4 Calculate Optimal Portfolios for Several Risk Measures."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Risk Measures available:\n",
    "#\n",
    "# 'MV': Standard Deviation.\n",
    "# 'MAD': Mean Absolute Deviation.\n",
    "# 'MSV': Semi Standard Deviation.\n",
    "# 'FLPM': First Lower Partial Moment (Omega Ratio).\n",
    "# 'SLPM': Second Lower Partial Moment (Sortino Ratio).\n",
    "# 'CVaR': Conditional Value at Risk.\n",
    "# 'EVaR': Entropic Value at Risk\n",
    "# 'CDaR': Conditional Drawdown at Risk of uncompounded cumulative returns.\n",
    "# 'EDaR': Entropic Drawdown at Risk of uncompounded cumulative returns.\n",
    "# 'UCI': Ulcer Index of uncompounded cumulative returns.\n",
    "\n",
    "# port.reset_linear_constraints() # To reset linear constraints (factor constraints)\n",
    "\n",
    "rms = ['MV', 'MAD', 'MSV', 'FLPM', 'SLPM',\n",
    "       'EVaR', 'CVaR', 'CDaR', 'UCI', 'EDaR']\n",
    "\n",
    "w_s = pd.DataFrame([])\n",
    "\n",
    "# When we use hist = True the risk measures all calculated\n",
    "# using historical returns, while when hist = False the\n",
    "# risk measures are calculated using the expected returns \n",
    "#  based on risk factor model: R = a + B * F\n",
    "\n",
    "hist = False\n",
    "\n",
    "for i in rms:\n",
    "    w = port.rp_optimization(model=model, rm=i, rf=rf, b=b, hist=hist)\n",
    "    w_s = pd.concat([w_s, w], axis=1)\n",
    "    \n",
    "w_s.columns = rms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  background-color: #a7db8c;\n",
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       "  background-color: #8dcf81;\n",
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       "  background-color: #83cb7d;\n",
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       "#T_a72b8_row3_col6 {\n",
       "  background-color: #b9e294;\n",
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       "#T_a72b8_row3_col7, #T_a72b8_row11_col6, #T_a72b8_row24_col3, #T_a72b8_row24_col5 {\n",
       "  background-color: #edf8b2;\n",
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       "#T_a72b8_row3_col8 {\n",
       "  background-color: #e8f6ae;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row3_col9, #T_a72b8_row7_col2, #T_a72b8_row9_col9, #T_a72b8_row16_col6, #T_a72b8_row22_col5, #T_a72b8_row24_col1, #T_a72b8_row24_col7 {\n",
       "  background-color: #f9fdc4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row4_col1, #T_a72b8_row4_col5, #T_a72b8_row9_col5 {\n",
       "  background-color: #b5e092;\n",
       "  color: #000000;\n",
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       "#T_a72b8_row4_col2 {\n",
       "  background-color: #c5e89a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row4_col3, #T_a72b8_row19_col2 {\n",
       "  background-color: #90d083;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row4_col4, #T_a72b8_row9_col3, #T_a72b8_row20_col0 {\n",
       "  background-color: #b8e293;\n",
       "  color: #000000;\n",
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       "#T_a72b8_row4_col6 {\n",
       "  background-color: #c7e89a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row4_col7, #T_a72b8_row9_col8, #T_a72b8_row18_col6 {\n",
       "  background-color: #dff3a8;\n",
       "  color: #000000;\n",
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       "#T_a72b8_row4_col8, #T_a72b8_row18_col0 {\n",
       "  background-color: #c9e99c;\n",
       "  color: #000000;\n",
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       "#T_a72b8_row4_col9, #T_a72b8_row7_col4, #T_a72b8_row14_col7 {\n",
       "  background-color: #f6fcb8;\n",
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       "#T_a72b8_row5_col0 {\n",
       "  background-color: #2f944e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row5_col1, #T_a72b8_row23_col1 {\n",
       "  background-color: #64bc6f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row5_col2, #T_a72b8_row13_col4 {\n",
       "  background-color: #55b567;\n",
       "  color: #f1f1f1;\n",
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       "#T_a72b8_row5_col3 {\n",
       "  background-color: #339951;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row5_col4 {\n",
       "  background-color: #3aa257;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row5_col5, #T_a72b8_row5_col6 {\n",
       "  background-color: #3da559;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row5_col7, #T_a72b8_row19_col0, #T_a72b8_row20_col3, #T_a72b8_row20_col5 {\n",
       "  background-color: #62bb6e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row5_col8, #T_a72b8_row13_col5 {\n",
       "  background-color: #40aa5c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row5_col9, #T_a72b8_row6_col9 {\n",
       "  background-color: #9dd688;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row6_col0, #T_a72b8_row23_col6 {\n",
       "  background-color: #359c53;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row6_col1 {\n",
       "  background-color: #298c48;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row6_col2 {\n",
       "  background-color: #187b3f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row6_col3 {\n",
       "  background-color: #228343;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row6_col4, #T_a72b8_row6_col5 {\n",
       "  background-color: #12763d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row6_col6 {\n",
       "  background-color: #086e3a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row6_col7, #T_a72b8_row19_col3 {\n",
       "  background-color: #77c679;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row6_col8, #T_a72b8_row12_col0 {\n",
       "  background-color: #8bce81;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row7_col0 {\n",
       "  background-color: #eff9b3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row7_col1 {\n",
       "  background-color: #f8fcbd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row7_col3, #T_a72b8_row13_col9 {\n",
       "  background-color: #e4f4ab;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row7_col5, #T_a72b8_row8_col8, #T_a72b8_row11_col7, #T_a72b8_row18_col7, #T_a72b8_row18_col8, #T_a72b8_row22_col1 {\n",
       "  background-color: #f8fcbe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row7_col6, #T_a72b8_row8_col3, #T_a72b8_row16_col1, #T_a72b8_row21_col5 {\n",
       "  background-color: #f8fcc0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row7_col7, #T_a72b8_row16_col8, #T_a72b8_row21_col2 {\n",
       "  background-color: #f5fbb8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row7_col8, #T_a72b8_row19_col9 {\n",
       "  background-color: #e1f3a9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row8_col0, #T_a72b8_row16_col7, #T_a72b8_row22_col4, #T_a72b8_row24_col2 {\n",
       "  background-color: #f9fdc7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row8_col1 {\n",
       "  background-color: #fcfed3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row8_col2 {\n",
       "  background-color: #fdfeda;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row8_col4, #T_a72b8_row11_col9 {\n",
       "  background-color: #fbfed0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row8_col5 {\n",
       "  background-color: #ffffe4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row8_col6 {\n",
       "  background-color: #fcfed6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row8_col7 {\n",
       "  background-color: #fbfdce;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row8_col9, #T_a72b8_row22_col7 {\n",
       "  background-color: #fcfed7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row9_col2 {\n",
       "  background-color: #d7efa2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row9_col6 {\n",
       "  background-color: #d9f0a3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row9_col7, #T_a72b8_row11_col2, #T_a72b8_row16_col0, #T_a72b8_row16_col3 {\n",
       "  background-color: #edf8b1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row10_col2, #T_a72b8_row10_col7, #T_a72b8_row11_col8, #T_a72b8_row21_col6 {\n",
       "  background-color: #f4fbb7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row10_col3, #T_a72b8_row18_col5 {\n",
       "  background-color: #d6efa2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row10_col4 {\n",
       "  background-color: #ebf7b0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row10_col5 {\n",
       "  background-color: #e2f4aa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row10_col6 {\n",
       "  background-color: #f2fab5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row11_col0 {\n",
       "  background-color: #e0f3a8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row11_col1 {\n",
       "  background-color: #e7f6ad;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row11_col3, #T_a72b8_row18_col2, #T_a72b8_row21_col0 {\n",
       "  background-color: #ddf2a6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row11_col4, #T_a72b8_row21_col1 {\n",
       "  background-color: #e9f6af;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row11_col5 {\n",
       "  background-color: #e3f4aa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row12_col1 {\n",
       "  background-color: #bae394;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row12_col2 {\n",
       "  background-color: #c4e799;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row12_col3 {\n",
       "  background-color: #86cc7f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row12_col4, #T_a72b8_row20_col2 {\n",
       "  background-color: #b1df90;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row12_col5, #T_a72b8_row20_col6 {\n",
       "  background-color: #acdd8e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row12_col6, #T_a72b8_row20_col7 {\n",
       "  background-color: #c1e698;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row12_col8 {\n",
       "  background-color: #a6da8b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row13_col0 {\n",
       "  background-color: #42ab5d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row13_col1 {\n",
       "  background-color: #5fba6c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row13_col2 {\n",
       "  background-color: #5ab76a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row13_col3 {\n",
       "  background-color: #5cb86b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row13_col6, #T_a72b8_row23_col8 {\n",
       "  background-color: #58b669;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row13_col7 {\n",
       "  background-color: #cbea9c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row14_col0, #T_a72b8_row20_col9, #T_a72b8_row21_col4 {\n",
       "  background-color: #ecf7b1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row14_col1, #T_a72b8_row22_col0, #T_a72b8_row24_col0 {\n",
       "  background-color: #f0f9b4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row14_col2 {\n",
       "  background-color: #fafdc9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row14_col3 {\n",
       "  background-color: #d3eda0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row14_col5 {\n",
       "  background-color: #fdfedb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row14_col6 {\n",
       "  background-color: #fafdcb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row14_col8 {\n",
       "  background-color: #daf0a4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row14_col9 {\n",
       "  background-color: #fbfdcf;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row15_col0 {\n",
       "  background-color: #00492b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row15_col1 {\n",
       "  background-color: #0b713b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row15_col2 {\n",
       "  background-color: #006536;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row15_col3, #T_a72b8_row15_col6, #T_a72b8_row15_col7, #T_a72b8_row15_col8, #T_a72b8_row15_col9, #T_a72b8_row17_col0, #T_a72b8_row17_col1, #T_a72b8_row17_col2, #T_a72b8_row17_col4, #T_a72b8_row17_col5, #T_a72b8_row17_col6 {\n",
       "  background-color: #004529;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row15_col4 {\n",
       "  background-color: #00482a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row15_col5 {\n",
       "  background-color: #016937;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row16_col2 {\n",
       "  background-color: #f9fdc5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row16_col5, #T_a72b8_row22_col3 {\n",
       "  background-color: #f7fcba;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row16_col9, #T_a72b8_row24_col9 {\n",
       "  background-color: #fcfed4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row17_col3 {\n",
       "  background-color: #004f2d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row17_col7 {\n",
       "  background-color: #72c376;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row18_col1 {\n",
       "  background-color: #dcf1a5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row18_col3 {\n",
       "  background-color: #dbf1a4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row19_col1 {\n",
       "  background-color: #9cd687;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row19_col4 {\n",
       "  background-color: #7ec97b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row19_col5 {\n",
       "  background-color: #66bd70;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row19_col6 {\n",
       "  background-color: #7fc97c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row19_col7 {\n",
       "  background-color: #c3e698;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row19_col8 {\n",
       "  background-color: #afde8f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row20_col4 {\n",
       "  background-color: #95d385;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row20_col8 {\n",
       "  background-color: #6dc073;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row21_col3 {\n",
       "  background-color: #d0ec9f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row21_col7 {\n",
       "  background-color: #f1fab5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row21_col8 {\n",
       "  background-color: #def2a7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row21_col9, #T_a72b8_row22_col2 {\n",
       "  background-color: #fafdc8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row22_col8 {\n",
       "  background-color: #fbfed2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row22_col9 {\n",
       "  background-color: #feffde;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row23_col0 {\n",
       "  background-color: #2b8e4a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row23_col2 {\n",
       "  background-color: #4eb163;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row23_col3 {\n",
       "  background-color: #379e54;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row23_col4, #T_a72b8_row23_col5 {\n",
       "  background-color: #389f55;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a72b8_row23_col7 {\n",
       "  background-color: #75c578;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row23_col9 {\n",
       "  background-color: #a1d889;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a72b8_row24_col6 {\n",
       "  background-color: #f9fdc2;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_a72b8\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_a72b8_level0_col0\" class=\"col_heading level0 col0\" >MV</th>\n",
       "      <th id=\"T_a72b8_level0_col1\" class=\"col_heading level0 col1\" >MAD</th>\n",
       "      <th id=\"T_a72b8_level0_col2\" class=\"col_heading level0 col2\" >MSV</th>\n",
       "      <th id=\"T_a72b8_level0_col3\" class=\"col_heading level0 col3\" >FLPM</th>\n",
       "      <th id=\"T_a72b8_level0_col4\" class=\"col_heading level0 col4\" >SLPM</th>\n",
       "      <th id=\"T_a72b8_level0_col5\" class=\"col_heading level0 col5\" >EVaR</th>\n",
       "      <th id=\"T_a72b8_level0_col6\" class=\"col_heading level0 col6\" >CVaR</th>\n",
       "      <th id=\"T_a72b8_level0_col7\" class=\"col_heading level0 col7\" >CDaR</th>\n",
       "      <th id=\"T_a72b8_level0_col8\" class=\"col_heading level0 col8\" >UCI</th>\n",
       "      <th id=\"T_a72b8_level0_col9\" class=\"col_heading level0 col9\" >EDaR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row0\" class=\"row_heading level0 row0\" >APA</th>\n",
       "      <td id=\"T_a72b8_row0_col0\" class=\"data row0 col0\" >2.34%</td>\n",
       "      <td id=\"T_a72b8_row0_col1\" class=\"data row0 col1\" >2.31%</td>\n",
       "      <td id=\"T_a72b8_row0_col2\" class=\"data row0 col2\" >2.38%</td>\n",
       "      <td id=\"T_a72b8_row0_col3\" class=\"data row0 col3\" >2.09%</td>\n",
       "      <td id=\"T_a72b8_row0_col4\" class=\"data row0 col4\" >2.26%</td>\n",
       "      <td id=\"T_a72b8_row0_col5\" class=\"data row0 col5\" >2.74%</td>\n",
       "      <td id=\"T_a72b8_row0_col6\" class=\"data row0 col6\" >2.27%</td>\n",
       "      <td id=\"T_a72b8_row0_col7\" class=\"data row0 col7\" >1.60%</td>\n",
       "      <td id=\"T_a72b8_row0_col8\" class=\"data row0 col8\" >1.49%</td>\n",
       "      <td id=\"T_a72b8_row0_col9\" class=\"data row0 col9\" >1.40%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row1\" class=\"row_heading level0 row1\" >BA</th>\n",
       "      <td id=\"T_a72b8_row1_col0\" class=\"data row1 col0\" >3.12%</td>\n",
       "      <td id=\"T_a72b8_row1_col1\" class=\"data row1 col1\" >3.13%</td>\n",
       "      <td id=\"T_a72b8_row1_col2\" class=\"data row1 col2\" >2.98%</td>\n",
       "      <td id=\"T_a72b8_row1_col3\" class=\"data row1 col3\" >3.34%</td>\n",
       "      <td id=\"T_a72b8_row1_col4\" class=\"data row1 col4\" >3.05%</td>\n",
       "      <td id=\"T_a72b8_row1_col5\" class=\"data row1 col5\" >3.24%</td>\n",
       "      <td id=\"T_a72b8_row1_col6\" class=\"data row1 col6\" >2.88%</td>\n",
       "      <td id=\"T_a72b8_row1_col7\" class=\"data row1 col7\" >2.96%</td>\n",
       "      <td id=\"T_a72b8_row1_col8\" class=\"data row1 col8\" >3.42%</td>\n",
       "      <td id=\"T_a72b8_row1_col9\" class=\"data row1 col9\" >2.42%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row2\" class=\"row_heading level0 row2\" >BAX</th>\n",
       "      <td id=\"T_a72b8_row2_col0\" class=\"data row2 col0\" >3.99%</td>\n",
       "      <td id=\"T_a72b8_row2_col1\" class=\"data row2 col1\" >3.98%</td>\n",
       "      <td id=\"T_a72b8_row2_col2\" class=\"data row2 col2\" >3.75%</td>\n",
       "      <td id=\"T_a72b8_row2_col3\" class=\"data row2 col3\" >4.26%</td>\n",
       "      <td id=\"T_a72b8_row2_col4\" class=\"data row2 col4\" >3.85%</td>\n",
       "      <td id=\"T_a72b8_row2_col5\" class=\"data row2 col5\" >3.73%</td>\n",
       "      <td id=\"T_a72b8_row2_col6\" class=\"data row2 col6\" >3.71%</td>\n",
       "      <td id=\"T_a72b8_row2_col7\" class=\"data row2 col7\" >4.27%</td>\n",
       "      <td id=\"T_a72b8_row2_col8\" class=\"data row2 col8\" >4.99%</td>\n",
       "      <td id=\"T_a72b8_row2_col9\" class=\"data row2 col9\" >3.71%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row3\" class=\"row_heading level0 row3\" >BMY</th>\n",
       "      <td id=\"T_a72b8_row3_col0\" class=\"data row3 col0\" >4.03%</td>\n",
       "      <td id=\"T_a72b8_row3_col1\" class=\"data row3 col1\" >4.51%</td>\n",
       "      <td id=\"T_a72b8_row3_col2\" class=\"data row3 col2\" >4.30%</td>\n",
       "      <td id=\"T_a72b8_row3_col3\" class=\"data row3 col3\" >4.21%</td>\n",
       "      <td id=\"T_a72b8_row3_col4\" class=\"data row3 col4\" >4.15%</td>\n",
       "      <td id=\"T_a72b8_row3_col5\" class=\"data row3 col5\" >4.40%</td>\n",
       "      <td id=\"T_a72b8_row3_col6\" class=\"data row3 col6\" >4.03%</td>\n",
       "      <td id=\"T_a72b8_row3_col7\" class=\"data row3 col7\" >3.18%</td>\n",
       "      <td id=\"T_a72b8_row3_col8\" class=\"data row3 col8\" >3.03%</td>\n",
       "      <td id=\"T_a72b8_row3_col9\" class=\"data row3 col9\" >2.77%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row4\" class=\"row_heading level0 row4\" >CMCSA</th>\n",
       "      <td id=\"T_a72b8_row4_col0\" class=\"data row4 col0\" >4.03%</td>\n",
       "      <td id=\"T_a72b8_row4_col1\" class=\"data row4 col1\" >4.10%</td>\n",
       "      <td id=\"T_a72b8_row4_col2\" class=\"data row4 col2\" >3.94%</td>\n",
       "      <td id=\"T_a72b8_row4_col3\" class=\"data row4 col3\" >4.17%</td>\n",
       "      <td id=\"T_a72b8_row4_col4\" class=\"data row4 col4\" >3.95%</td>\n",
       "      <td id=\"T_a72b8_row4_col5\" class=\"data row4 col5\" >3.98%</td>\n",
       "      <td id=\"T_a72b8_row4_col6\" class=\"data row4 col6\" >3.83%</td>\n",
       "      <td id=\"T_a72b8_row4_col7\" class=\"data row4 col7\" >3.72%</td>\n",
       "      <td id=\"T_a72b8_row4_col8\" class=\"data row4 col8\" >3.89%</td>\n",
       "      <td id=\"T_a72b8_row4_col9\" class=\"data row4 col9\" >3.27%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row5\" class=\"row_heading level0 row5\" >CNP</th>\n",
       "      <td id=\"T_a72b8_row5_col0\" class=\"data row5 col0\" >5.37%</td>\n",
       "      <td id=\"T_a72b8_row5_col1\" class=\"data row5 col1\" >5.08%</td>\n",
       "      <td id=\"T_a72b8_row5_col2\" class=\"data row5 col2\" >5.31%</td>\n",
       "      <td id=\"T_a72b8_row5_col3\" class=\"data row5 col3\" >5.30%</td>\n",
       "      <td id=\"T_a72b8_row5_col4\" class=\"data row5 col4\" >5.46%</td>\n",
       "      <td id=\"T_a72b8_row5_col5\" class=\"data row5 col5\" >4.98%</td>\n",
       "      <td id=\"T_a72b8_row5_col6\" class=\"data row5 col6\" >5.60%</td>\n",
       "      <td id=\"T_a72b8_row5_col7\" class=\"data row5 col7\" >6.78%</td>\n",
       "      <td id=\"T_a72b8_row5_col8\" class=\"data row5 col8\" >6.61%</td>\n",
       "      <td id=\"T_a72b8_row5_col9\" class=\"data row5 col9\" >7.34%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row6\" class=\"row_heading level0 row6\" >CPB</th>\n",
       "      <td id=\"T_a72b8_row6_col0\" class=\"data row6 col0\" >5.27%</td>\n",
       "      <td id=\"T_a72b8_row6_col1\" class=\"data row6 col1\" >5.99%</td>\n",
       "      <td id=\"T_a72b8_row6_col2\" class=\"data row6 col2\" >6.34%</td>\n",
       "      <td id=\"T_a72b8_row6_col3\" class=\"data row6 col3\" >5.62%</td>\n",
       "      <td id=\"T_a72b8_row6_col4\" class=\"data row6 col4\" >6.23%</td>\n",
       "      <td id=\"T_a72b8_row6_col5\" class=\"data row6 col5\" >5.57%</td>\n",
       "      <td id=\"T_a72b8_row6_col6\" class=\"data row6 col6\" >6.65%</td>\n",
       "      <td id=\"T_a72b8_row6_col7\" class=\"data row6 col7\" >6.35%</td>\n",
       "      <td id=\"T_a72b8_row6_col8\" class=\"data row6 col8\" >5.22%</td>\n",
       "      <td id=\"T_a72b8_row6_col9\" class=\"data row6 col9\" >7.32%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row7\" class=\"row_heading level0 row7\" >DE</th>\n",
       "      <td id=\"T_a72b8_row7_col0\" class=\"data row7 col0\" >3.02%</td>\n",
       "      <td id=\"T_a72b8_row7_col1\" class=\"data row7 col1\" >2.91%</td>\n",
       "      <td id=\"T_a72b8_row7_col2\" class=\"data row7 col2\" >2.86%</td>\n",
       "      <td id=\"T_a72b8_row7_col3\" class=\"data row7 col3\" >3.05%</td>\n",
       "      <td id=\"T_a72b8_row7_col4\" class=\"data row7 col4\" >2.91%</td>\n",
       "      <td id=\"T_a72b8_row7_col5\" class=\"data row7 col5\" >3.13%</td>\n",
       "      <td id=\"T_a72b8_row7_col6\" class=\"data row7 col6\" >2.82%</td>\n",
       "      <td id=\"T_a72b8_row7_col7\" class=\"data row7 col7\" >2.87%</td>\n",
       "      <td id=\"T_a72b8_row7_col8\" class=\"data row7 col8\" >3.27%</td>\n",
       "      <td id=\"T_a72b8_row7_col9\" class=\"data row7 col9\" >2.43%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row8\" class=\"row_heading level0 row8\" >HPQ</th>\n",
       "      <td id=\"T_a72b8_row8_col0\" class=\"data row8 col0\" >2.71%</td>\n",
       "      <td id=\"T_a72b8_row8_col1\" class=\"data row8 col1\" >2.58%</td>\n",
       "      <td id=\"T_a72b8_row8_col2\" class=\"data row8 col2\" >2.55%</td>\n",
       "      <td id=\"T_a72b8_row8_col3\" class=\"data row8 col3\" >2.61%</td>\n",
       "      <td id=\"T_a72b8_row8_col4\" class=\"data row8 col4\" >2.55%</td>\n",
       "      <td id=\"T_a72b8_row8_col5\" class=\"data row8 col5\" >2.77%</td>\n",
       "      <td id=\"T_a72b8_row8_col6\" class=\"data row8 col6\" >2.50%</td>\n",
       "      <td id=\"T_a72b8_row8_col7\" class=\"data row8 col7\" >2.26%</td>\n",
       "      <td id=\"T_a72b8_row8_col8\" class=\"data row8 col8\" >2.40%</td>\n",
       "      <td id=\"T_a72b8_row8_col9\" class=\"data row8 col9\" >1.97%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row9\" class=\"row_heading level0 row9\" >JCI</th>\n",
       "      <td id=\"T_a72b8_row9_col0\" class=\"data row9 col0\" >3.77%</td>\n",
       "      <td id=\"T_a72b8_row9_col1\" class=\"data row9 col1\" >3.74%</td>\n",
       "      <td id=\"T_a72b8_row9_col2\" class=\"data row9 col2\" >3.67%</td>\n",
       "      <td id=\"T_a72b8_row9_col3\" class=\"data row9 col3\" >3.71%</td>\n",
       "      <td id=\"T_a72b8_row9_col4\" class=\"data row9 col4\" >3.65%</td>\n",
       "      <td id=\"T_a72b8_row9_col5\" class=\"data row9 col5\" >3.97%</td>\n",
       "      <td id=\"T_a72b8_row9_col6\" class=\"data row9 col6\" >3.57%</td>\n",
       "      <td id=\"T_a72b8_row9_col7\" class=\"data row9 col7\" >3.20%</td>\n",
       "      <td id=\"T_a72b8_row9_col8\" class=\"data row9 col8\" >3.32%</td>\n",
       "      <td id=\"T_a72b8_row9_col9\" class=\"data row9 col9\" >2.76%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row10\" class=\"row_heading level0 row10\" >JPM</th>\n",
       "      <td id=\"T_a72b8_row10_col0\" class=\"data row10 col0\" >3.37%</td>\n",
       "      <td id=\"T_a72b8_row10_col1\" class=\"data row10 col1\" >3.13%</td>\n",
       "      <td id=\"T_a72b8_row10_col2\" class=\"data row10 col2\" >3.08%</td>\n",
       "      <td id=\"T_a72b8_row10_col3\" class=\"data row10 col3\" >3.31%</td>\n",
       "      <td id=\"T_a72b8_row10_col4\" class=\"data row10 col4\" >3.13%</td>\n",
       "      <td id=\"T_a72b8_row10_col5\" class=\"data row10 col5\" >3.49%</td>\n",
       "      <td id=\"T_a72b8_row10_col6\" class=\"data row10 col6\" >3.02%</td>\n",
       "      <td id=\"T_a72b8_row10_col7\" class=\"data row10 col7\" >2.93%</td>\n",
       "      <td id=\"T_a72b8_row10_col8\" class=\"data row10 col8\" >3.42%</td>\n",
       "      <td id=\"T_a72b8_row10_col9\" class=\"data row10 col9\" >2.46%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row11\" class=\"row_heading level0 row11\" >LUV</th>\n",
       "      <td id=\"T_a72b8_row11_col0\" class=\"data row11 col0\" >3.30%</td>\n",
       "      <td id=\"T_a72b8_row11_col1\" class=\"data row11 col1\" >3.30%</td>\n",
       "      <td id=\"T_a72b8_row11_col2\" class=\"data row11 col2\" >3.24%</td>\n",
       "      <td id=\"T_a72b8_row11_col3\" class=\"data row11 col3\" >3.18%</td>\n",
       "      <td id=\"T_a72b8_row11_col4\" class=\"data row11 col4\" >3.18%</td>\n",
       "      <td id=\"T_a72b8_row11_col5\" class=\"data row11 col5\" >3.48%</td>\n",
       "      <td id=\"T_a72b8_row11_col6\" class=\"data row11 col6\" >3.12%</td>\n",
       "      <td id=\"T_a72b8_row11_col7\" class=\"data row11 col7\" >2.64%</td>\n",
       "      <td id=\"T_a72b8_row11_col8\" class=\"data row11 col8\" >2.63%</td>\n",
       "      <td id=\"T_a72b8_row11_col9\" class=\"data row11 col9\" >2.29%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row12\" class=\"row_heading level0 row12\" >MMC</th>\n",
       "      <td id=\"T_a72b8_row12_col0\" class=\"data row12 col0\" >4.31%</td>\n",
       "      <td id=\"T_a72b8_row12_col1\" class=\"data row12 col1\" >4.03%</td>\n",
       "      <td id=\"T_a72b8_row12_col2\" class=\"data row12 col2\" >3.95%</td>\n",
       "      <td id=\"T_a72b8_row12_col3\" class=\"data row12 col3\" >4.29%</td>\n",
       "      <td id=\"T_a72b8_row12_col4\" class=\"data row12 col4\" >4.05%</td>\n",
       "      <td id=\"T_a72b8_row12_col5\" class=\"data row12 col5\" >4.05%</td>\n",
       "      <td id=\"T_a72b8_row12_col6\" class=\"data row12 col6\" >3.92%</td>\n",
       "      <td id=\"T_a72b8_row12_col7\" class=\"data row12 col7\" >4.23%</td>\n",
       "      <td id=\"T_a72b8_row12_col8\" class=\"data row12 col8\" >4.69%</td>\n",
       "      <td id=\"T_a72b8_row12_col9\" class=\"data row12 col9\" >3.73%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row13\" class=\"row_heading level0 row13\" >MO</th>\n",
       "      <td id=\"T_a72b8_row13_col0\" class=\"data row13 col0\" >5.03%</td>\n",
       "      <td id=\"T_a72b8_row13_col1\" class=\"data row13 col1\" >5.13%</td>\n",
       "      <td id=\"T_a72b8_row13_col2\" class=\"data row13 col2\" >5.26%</td>\n",
       "      <td id=\"T_a72b8_row13_col3\" class=\"data row13 col3\" >4.73%</td>\n",
       "      <td id=\"T_a72b8_row13_col4\" class=\"data row13 col4\" >5.10%</td>\n",
       "      <td id=\"T_a72b8_row13_col5\" class=\"data row13 col5\" >4.93%</td>\n",
       "      <td id=\"T_a72b8_row13_col6\" class=\"data row13 col6\" >5.24%</td>\n",
       "      <td id=\"T_a72b8_row13_col7\" class=\"data row13 col7\" >4.36%</td>\n",
       "      <td id=\"T_a72b8_row13_col8\" class=\"data row13 col8\" >3.78%</td>\n",
       "      <td id=\"T_a72b8_row13_col9\" class=\"data row13 col9\" >4.35%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row14\" class=\"row_heading level0 row14\" >MSFT</th>\n",
       "      <td id=\"T_a72b8_row14_col0\" class=\"data row14 col0\" >3.09%</td>\n",
       "      <td id=\"T_a72b8_row14_col1\" class=\"data row14 col1\" >3.10%</td>\n",
       "      <td id=\"T_a72b8_row14_col2\" class=\"data row14 col2\" >2.78%</td>\n",
       "      <td id=\"T_a72b8_row14_col3\" class=\"data row14 col3\" >3.35%</td>\n",
       "      <td id=\"T_a72b8_row14_col4\" class=\"data row14 col4\" >2.84%</td>\n",
       "      <td id=\"T_a72b8_row14_col5\" class=\"data row14 col5\" >2.84%</td>\n",
       "      <td id=\"T_a72b8_row14_col6\" class=\"data row14 col6\" >2.65%</td>\n",
       "      <td id=\"T_a72b8_row14_col7\" class=\"data row14 col7\" >2.84%</td>\n",
       "      <td id=\"T_a72b8_row14_col8\" class=\"data row14 col8\" >3.50%</td>\n",
       "      <td id=\"T_a72b8_row14_col9\" class=\"data row14 col9\" >2.31%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row15\" class=\"row_heading level0 row15\" >NI</th>\n",
       "      <td id=\"T_a72b8_row15_col0\" class=\"data row15 col0\" >6.60%</td>\n",
       "      <td id=\"T_a72b8_row15_col1\" class=\"data row15 col1\" >6.54%</td>\n",
       "      <td id=\"T_a72b8_row15_col2\" class=\"data row15 col2\" >6.84%</td>\n",
       "      <td id=\"T_a72b8_row15_col3\" class=\"data row15 col3\" >6.78%</td>\n",
       "      <td id=\"T_a72b8_row15_col4\" class=\"data row15 col4\" >7.08%</td>\n",
       "      <td id=\"T_a72b8_row15_col5\" class=\"data row15 col5\" >5.77%</td>\n",
       "      <td id=\"T_a72b8_row15_col6\" class=\"data row15 col6\" >7.44%</td>\n",
       "      <td id=\"T_a72b8_row15_col7\" class=\"data row15 col7\" >11.07%</td>\n",
       "      <td id=\"T_a72b8_row15_col8\" class=\"data row15 col8\" >9.65%</td>\n",
       "      <td id=\"T_a72b8_row15_col9\" class=\"data row15 col9\" >15.83%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row16\" class=\"row_heading level0 row16\" >PCAR</th>\n",
       "      <td id=\"T_a72b8_row16_col0\" class=\"data row16 col0\" >3.07%</td>\n",
       "      <td id=\"T_a72b8_row16_col1\" class=\"data row16 col1\" >2.85%</td>\n",
       "      <td id=\"T_a72b8_row16_col2\" class=\"data row16 col2\" >2.84%</td>\n",
       "      <td id=\"T_a72b8_row16_col3\" class=\"data row16 col3\" >2.89%</td>\n",
       "      <td id=\"T_a72b8_row16_col4\" class=\"data row16 col4\" >2.84%</td>\n",
       "      <td id=\"T_a72b8_row16_col5\" class=\"data row16 col5\" >3.18%</td>\n",
       "      <td id=\"T_a72b8_row16_col6\" class=\"data row16 col6\" >2.75%</td>\n",
       "      <td id=\"T_a72b8_row16_col7\" class=\"data row16 col7\" >2.44%</td>\n",
       "      <td id=\"T_a72b8_row16_col8\" class=\"data row16 col8\" >2.58%</td>\n",
       "      <td id=\"T_a72b8_row16_col9\" class=\"data row16 col9\" >2.08%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row17\" class=\"row_heading level0 row17\" >PSA</th>\n",
       "      <td id=\"T_a72b8_row17_col0\" class=\"data row17 col0\" >6.68%</td>\n",
       "      <td id=\"T_a72b8_row17_col1\" class=\"data row17 col1\" >7.38%</td>\n",
       "      <td id=\"T_a72b8_row17_col2\" class=\"data row17 col2\" >7.43%</td>\n",
       "      <td id=\"T_a72b8_row17_col3\" class=\"data row17 col3\" >6.62%</td>\n",
       "      <td id=\"T_a72b8_row17_col4\" class=\"data row17 col4\" >7.15%</td>\n",
       "      <td id=\"T_a72b8_row17_col5\" class=\"data row17 col5\" >6.23%</td>\n",
       "      <td id=\"T_a72b8_row17_col6\" class=\"data row17 col6\" >7.43%</td>\n",
       "      <td id=\"T_a72b8_row17_col7\" class=\"data row17 col7\" >6.47%</td>\n",
       "      <td id=\"T_a72b8_row17_col8\" class=\"data row17 col8\" >5.16%</td>\n",
       "      <td id=\"T_a72b8_row17_col9\" class=\"data row17 col9\" >6.99%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row18\" class=\"row_heading level0 row18\" >SEE</th>\n",
       "      <td id=\"T_a72b8_row18_col0\" class=\"data row18 col0\" >3.62%</td>\n",
       "      <td id=\"T_a72b8_row18_col1\" class=\"data row18 col1\" >3.53%</td>\n",
       "      <td id=\"T_a72b8_row18_col2\" class=\"data row18 col2\" >3.56%</td>\n",
       "      <td id=\"T_a72b8_row18_col3\" class=\"data row18 col3\" >3.23%</td>\n",
       "      <td id=\"T_a72b8_row18_col4\" class=\"data row18 col4\" >3.41%</td>\n",
       "      <td id=\"T_a72b8_row18_col5\" class=\"data row18 col5\" >3.64%</td>\n",
       "      <td id=\"T_a72b8_row18_col6\" class=\"data row18 col6\" >3.44%</td>\n",
       "      <td id=\"T_a72b8_row18_col7\" class=\"data row18 col7\" >2.65%</td>\n",
       "      <td id=\"T_a72b8_row18_col8\" class=\"data row18 col8\" >2.41%</td>\n",
       "      <td id=\"T_a72b8_row18_col9\" class=\"data row18 col9\" >2.42%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row19\" class=\"row_heading level0 row19\" >T</th>\n",
       "      <td id=\"T_a72b8_row19_col0\" class=\"data row19 col0\" >4.71%</td>\n",
       "      <td id=\"T_a72b8_row19_col1\" class=\"data row19 col1\" >4.42%</td>\n",
       "      <td id=\"T_a72b8_row19_col2\" class=\"data row19 col2\" >4.63%</td>\n",
       "      <td id=\"T_a72b8_row19_col3\" class=\"data row19 col3\" >4.45%</td>\n",
       "      <td id=\"T_a72b8_row19_col4\" class=\"data row19 col4\" >4.64%</td>\n",
       "      <td id=\"T_a72b8_row19_col5\" class=\"data row19 col5\" >4.63%</td>\n",
       "      <td id=\"T_a72b8_row19_col6\" class=\"data row19 col6\" >4.77%</td>\n",
       "      <td id=\"T_a72b8_row19_col7\" class=\"data row19 col7\" >4.57%</td>\n",
       "      <td id=\"T_a72b8_row19_col8\" class=\"data row19 col8\" >4.49%</td>\n",
       "      <td id=\"T_a72b8_row19_col9\" class=\"data row19 col9\" >4.55%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row20\" class=\"row_heading level0 row20\" >TGT</th>\n",
       "      <td id=\"T_a72b8_row20_col0\" class=\"data row20 col0\" >3.83%</td>\n",
       "      <td id=\"T_a72b8_row20_col1\" class=\"data row20 col1\" >4.27%</td>\n",
       "      <td id=\"T_a72b8_row20_col2\" class=\"data row20 col2\" >4.23%</td>\n",
       "      <td id=\"T_a72b8_row20_col3\" class=\"data row20 col3\" >4.68%</td>\n",
       "      <td id=\"T_a72b8_row20_col4\" class=\"data row20 col4\" >4.37%</td>\n",
       "      <td id=\"T_a72b8_row20_col5\" class=\"data row20 col5\" >4.66%</td>\n",
       "      <td id=\"T_a72b8_row20_col6\" class=\"data row20 col6\" >4.23%</td>\n",
       "      <td id=\"T_a72b8_row20_col7\" class=\"data row20 col7\" >4.63%</td>\n",
       "      <td id=\"T_a72b8_row20_col8\" class=\"data row20 col8\" >5.78%</td>\n",
       "      <td id=\"T_a72b8_row20_col9\" class=\"data row20 col9\" >3.93%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row21\" class=\"row_heading level0 row21\" >TMO</th>\n",
       "      <td id=\"T_a72b8_row21_col0\" class=\"data row21 col0\" >3.34%</td>\n",
       "      <td id=\"T_a72b8_row21_col1\" class=\"data row21 col1\" >3.26%</td>\n",
       "      <td id=\"T_a72b8_row21_col2\" class=\"data row21 col2\" >3.07%</td>\n",
       "      <td id=\"T_a72b8_row21_col3\" class=\"data row21 col3\" >3.39%</td>\n",
       "      <td id=\"T_a72b8_row21_col4\" class=\"data row21 col4\" >3.11%</td>\n",
       "      <td id=\"T_a72b8_row21_col5\" class=\"data row21 col5\" >3.12%</td>\n",
       "      <td id=\"T_a72b8_row21_col6\" class=\"data row21 col6\" >2.98%</td>\n",
       "      <td id=\"T_a72b8_row21_col7\" class=\"data row21 col7\" >3.04%</td>\n",
       "      <td id=\"T_a72b8_row21_col8\" class=\"data row21 col8\" >3.36%</td>\n",
       "      <td id=\"T_a72b8_row21_col9\" class=\"data row21 col9\" >2.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row22\" class=\"row_heading level0 row22\" >TXT</th>\n",
       "      <td id=\"T_a72b8_row22_col0\" class=\"data row22 col0\" >3.00%</td>\n",
       "      <td id=\"T_a72b8_row22_col1\" class=\"data row22 col1\" >2.87%</td>\n",
       "      <td id=\"T_a72b8_row22_col2\" class=\"data row22 col2\" >2.80%</td>\n",
       "      <td id=\"T_a72b8_row22_col3\" class=\"data row22 col3\" >2.67%</td>\n",
       "      <td id=\"T_a72b8_row22_col4\" class=\"data row22 col4\" >2.70%</td>\n",
       "      <td id=\"T_a72b8_row22_col5\" class=\"data row22 col5\" >3.08%</td>\n",
       "      <td id=\"T_a72b8_row22_col6\" class=\"data row22 col6\" >2.64%</td>\n",
       "      <td id=\"T_a72b8_row22_col7\" class=\"data row22 col7\" >2.01%</td>\n",
       "      <td id=\"T_a72b8_row22_col8\" class=\"data row22 col8\" >1.94%</td>\n",
       "      <td id=\"T_a72b8_row22_col9\" class=\"data row22 col9\" >1.73%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row23\" class=\"row_heading level0 row23\" >VZ</th>\n",
       "      <td id=\"T_a72b8_row23_col0\" class=\"data row23 col0\" >5.44%</td>\n",
       "      <td id=\"T_a72b8_row23_col1\" class=\"data row23 col1\" >5.08%</td>\n",
       "      <td id=\"T_a72b8_row23_col2\" class=\"data row23 col2\" >5.39%</td>\n",
       "      <td id=\"T_a72b8_row23_col3\" class=\"data row23 col3\" >5.21%</td>\n",
       "      <td id=\"T_a72b8_row23_col4\" class=\"data row23 col4\" >5.49%</td>\n",
       "      <td id=\"T_a72b8_row23_col5\" class=\"data row23 col5\" >5.06%</td>\n",
       "      <td id=\"T_a72b8_row23_col6\" class=\"data row23 col6\" >5.75%</td>\n",
       "      <td id=\"T_a72b8_row23_col7\" class=\"data row23 col7\" >6.41%</td>\n",
       "      <td id=\"T_a72b8_row23_col8\" class=\"data row23 col8\" >6.16%</td>\n",
       "      <td id=\"T_a72b8_row23_col9\" class=\"data row23 col9\" >7.21%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a72b8_level0_row24\" class=\"row_heading level0 row24\" >ZION</th>\n",
       "      <td id=\"T_a72b8_row24_col0\" class=\"data row24 col0\" >3.01%</td>\n",
       "      <td id=\"T_a72b8_row24_col1\" class=\"data row24 col1\" >2.79%</td>\n",
       "      <td id=\"T_a72b8_row24_col2\" class=\"data row24 col2\" >2.82%</td>\n",
       "      <td id=\"T_a72b8_row24_col3\" class=\"data row24 col3\" >2.87%</td>\n",
       "      <td id=\"T_a72b8_row24_col4\" class=\"data row24 col4\" >2.84%</td>\n",
       "      <td id=\"T_a72b8_row24_col5\" class=\"data row24 col5\" >3.33%</td>\n",
       "      <td id=\"T_a72b8_row24_col6\" class=\"data row24 col6\" >2.78%</td>\n",
       "      <td id=\"T_a72b8_row24_col7\" class=\"data row24 col7\" >2.52%</td>\n",
       "      <td id=\"T_a72b8_row24_col8\" class=\"data row24 col8\" >2.81%</td>\n",
       "      <td id=\"T_a72b8_row24_col9\" class=\"data row24 col9\" >2.12%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x31a5dd710>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w_s.style.format(\"{:.2%}\").background_gradient(cmap='YlGn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Plotting a comparison of assets weights for each portfolio\n",
    "\n",
    "fig = plt.gcf()\n",
    "fig.set_figwidth(14)\n",
    "fig.set_figheight(6)\n",
    "ax = fig.subplots(nrows=1, ncols=1)\n",
    "\n",
    "w_s.plot.bar(ax=ax)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
